Open to Backend / Platform roles · Hyderabad

Vanga Akash Reddy

Official portfolio · Akash Reddy Vanga (Akash Reddy, Akash) · same engineer as Vanga Akash Reddy

Backend Engineer with 2.5+ years at JaaGa.AI, building revenue-critical services on Node.js, MongoDB and AWS. I work on payment integrations, queue-driven workers, document automation and internal platforms — and I own them end-to-end, from API contract and data model through to deployment, monitoring and on-call.

2.5+
Years in production
2
Promotions in 2 yrs
24×7
First-line on-call
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Akash Reddy Vanga — Akash Reddy — Akash — official portfolio · Backend Developer & Software Engineer · Hyderabad · Vanga Akash Reddy
Core stack

Everything I actually ship with.

Pulled from the dependency manifests of the production codebases I work in every day — not an aspirational list. Highlighted pills are what I reach for most.

Languages & runtime

Node.jsJavaScript (ES2022) TypeScriptHTML5CSS3 SQLBashJSON Schema

Backend & APIs

ExpressREST API design MongooseJoi validation JWT & sessionsbcryptHelmet express-rate-limitmongo-sanitize / xss-clean Multer & formidableWinstonMorgan Cron jobsasync-mutex

Data & storage

MongoDBMongoDB aggregation GeoJSON / geospatial indexesRedis Cloudflare D1AWS S3 Cloudflare R2Azure Blob Storage Index & query tuning

Cloud, edge & DevOps

AWS LambdaAWS SQS AWS SESCloudflare Workers Cloudflare PagesWrangler DockerNginx PM2VercelGitHub Pages Shell deploy scriptsDev / stage / prod envs

AI & documents

Google GeminiVertex AI Tesseract OCRdocxtemplater mammothpdf-libpdf-parse html-to-docxPizZipreact-pdf QR generationStructured extraction

Integrations & payments

CashfreeUPI / VPA + QR WhatsApp Cloud APIFirebase FCM Meta Graph APIInstagram Graph API Google Ads APIMeta Ads API Search Console APIgoogleapis NodemailerTelegram Bot API Slack / Teams / Chat webhooksGoogle Sheets Jira

Frontend

React 18 / 19Vite TanStack QueryTanStack Table Redux ToolkitZustand React RouterReact Hook Form + Yup TailwindRadix UIshadcn/ui MUIFramer MotionRecharts Leaflet + clusteringFabric.jsjsPDF React Flowlucide-react

Reliability & practice

IdempotencyRetries + backoff Webhook signature verification Dead-letter handlingReconciliation jobs Queue-driven workersRate limiting RBAC & module access controlAudit trails Observability & alerting RunbooksOn-call & post-mortems Git & PR reviewWeb scraping (Puppeteer)
What I can build

Hand me one of these and it ships.

Systems I’ve built before and can build again from a blank repo — described as Build · Harden · Operate, because shipping the happy path is the easy third of the job.

These are capability areas, not a client list. My employer’s product details stay confidential — but the engineering below is mine, and I’m happy to go as deep as you like on any of it in an interview.

Payment & billing flows

Gateway checkout · UPI collection · Reconciliation
  • Build Checkout and order lifecycle against a payment gateway, UPI collection via VPA/QR with an operator confirmation step, refunds, invoices and a coupon / pricing layer.
  • Harden Idempotency keys so a retried request can never double-charge, signed-webhook verification, exponential backoff, dead-letter handling for callbacks that never arrive, and a daily reconciliation job against the provider’s settlement data.
  • Operate Alerting on failed and stuck payments, a replay path for dropped webhooks, and an audit trail finance can actually close books against.
Node.jsPayment gateway APIsUPI MongoDBAWS SQSWebhooks

Queue-driven background processing

Workers · Retries · Scheduled jobs
  • Build Anything slow, bursty or failure-prone moved off the request path into queue consumers — file processing, third-party calls, fan-out, exports, nightly cron jobs.
  • Harden At-least-once semantics with idempotent handlers, bounded retries with backoff, dead-letter queues for poison messages, and concurrency limits so one bad batch can’t take the workers down.
  • Operate Per-worker process management, queue-depth and age alerting, and a documented way to drain, replay or re-drive a backlog.
AWS SQSNode.jsPM2 RedisCronDocker

Document pipelines — OCR & AI extraction

Ingest · Extract · Generate
  • Build Upload → object storage → OCR → LLM structured extraction → validated record, plus the reverse: templated DOCX/PDF generation from structured data, with versioned templates.
  • Harden Schema validation on every extraction so a confident-but-wrong model answer gets rejected, duplicate detection on re-uploads, a human review step for low-confidence fields, and per-document retries that don’t block the batch.
  • Operate Cost and latency visibility per document, a preview UI for reviewers, and audit stamps on every edit so you know who changed what.
Google GeminiVertex AITesseract OCR AWS LambdaS3docxtemplaterpdf-lib

Multi-channel notifications & messaging

Push · Email · Chat · Campaigns
  • Build One event fanned out to mobile push, email, business-messaging channels and internal team channels, with templates, variable substitution, scheduling and audience segmentation.
  • Harden Per-channel rate limits, template fallbacks when a live session window has closed, opt-out handling honoured across every channel, and queue-backed retries on transient provider failures.
  • Operate Delivery, open and failure counters per send, A/B variant comparison, and one auditable answer to “who was contacted, when, and with what”.
Firebase FCMWhatsApp Cloud APIAWS SES AWS SQSNode.jsReact

Internal tools, admin consoles & dashboards

Ops workflows · RBAC · Reporting
  • Build The screens a business actually runs on — searchable tables over large datasets, detail drawers, bulk actions, configurable pipeline/stage workflows, scheduling and reminders, and charts that answer a real question.
  • Harden Role-based and per-module access control, double-submit guards on state changes, mandatory reasons captured on destructive or irreversible transitions, and a full change history rather than a last-write-wins field.
  • Operate Audit stamps on every edit, printable/exportable reports for people who live in spreadsheets, and access logs for anything sensitive.
React 18/19TypeScriptTanStack Table TanStack QueryRechartsTailwindNode.js

Third-party integrations & edge services

OAuth · Webhooks · Cloudflare Workers
  • Build Integrations against messaging, advertising, search and payment APIs — OAuth flows with refresh-token rotation, pagination, sync jobs, and inbound webhook receivers. Comfortable shipping the whole thing on Cloudflare Workers, D1 and R2 when an edge runtime fits better than a server.
  • Harden Signature verification on every inbound webhook, provider rate limits respected with backoff, tokens and secrets kept out of source control and rotatable, and graceful degradation when a provider is down rather than a cascading failure.
  • Operate Pinned API versions with a documented upgrade path, replayable webhook logs, and alerts when a token is close to expiry instead of after it breaks.
Cloudflare WorkersD1R2Wrangler OAuth 2.0RESTWebhooksNode.js
How I work

Ship carefully, own the outcome.

How I actually operate day to day — the habits that keep revenue-critical services boring, and make my work easy for the next engineer to pick up.

Spec before code. I write the API contract and data model first and agree it with whoever depends on it — finance, ops, product or legal. Most of the expensive bugs I’ve seen were disagreements about meaning, not broken syntax.

Never test in production. I run changes locally against a local database or a staging stack before they touch a live system, and I clean up after myself when a test does leave a trace. Payments and customer-facing messages don’t get a “let’s see what happens”.

Security is part of the definition of done. I review my own work for injection and auth gaps, verify webhook signatures, keep secrets out of source control and rotate credentials as part of a migration — not as a follow-up ticket someone files later.

Small, readable commits. Scoped conventional commits (feat(scope): …), one logical change each, so history stays reviewable and a bad change is one revert away instead of an archaeology project.

Write it down. Every codebase I own carries its own README, architecture notes, deployment guide and changelog. If I disappeared for a month the team could still ship — that’s the bar I hold myself to.

AI as leverage, not autopilot. I use AI for the boring 70% — scaffolds, boilerplate, test cases, log spelunking. I keep the parts that don’t delegate well: API contracts, data modeling, idempotency, threat modeling and incident response. Every AI-assisted change clears the same review bar as code I write by hand.

Spec
Contract agreed before code
Local
Verify off-prod, always
Secure
Auth, signatures, secret rotation
Test
Idempotency & retry paths
Docs
Handoverable, not tribal
Ship
Monitored, alerted, on-call
For recruiters · 30-second read

Why hire Akash Reddy Vanga.

The six things that should close a hiring decision.

Promoted in 2 yrs

Intern → Backend Developer → Software Engineer at JaaGa.AI. Track record of growth, not just tenure.

Full-stack scope

Backend-led, but ships the React/TypeScript front ends too — plus Docker, Nginx and the deploy scripts. Not a single-service engineer.

Handles real money

Payment gateway and UPI integrations built for correctness: idempotent retries, signed-webhook verification, daily reconciliation.

On-call ready

First-line on-call. Runbooks for 3 services. Blameless post-mortems with closed-loop follow-ups.

Owns the whole path

API contract → data model → deployment → monitoring → on-call. Comfortable running the AWS and Cloudflare infra behind his own services.

Ships whole products

Takes a vague business problem to a spec, a schema, a UI and a rollout — not just assigned tickets. Uses AI for the boring parts, owns the judgement calls.

About

I ship reliable backend systems.

2.5+ years designing and operating revenue-critical services on AWS, MongoDB and Node.js — from architecture to on-call.

I’m a Backend Engineer with 2.5+ years at JaaGa.AI, where I own the design and delivery of payment, automation and notification systems used by real customers every day. (Specifics of my employer’s products stay with my employer — happy to talk through the engineering in an interview.) I’ve grown from contributing to existing services to architecting new ones end-to-end — from API contract and data model to deployment, monitoring and on-call.

My core stack is Node.js, Express, MongoDB and AWS, with React + TypeScript on the front end and Cloudflare Workers at the edge. The work spans payment-gateway and UPI integrations, queue-driven background workers, OCR and AI document processing, notification and messaging platforms, and internal tooling for the teams that run the business day to day. I think a lot about idempotency, retry semantics, observability and zero-downtime rollouts — the unglamorous work that keeps production calm.

I work across the full surface: a Node.js service and worker layer on AWS, several React / TypeScript front ends, and edge services on Cloudflare Workers, D1 and R2. I also handle Docker, Nginx and deployment scripts across dev, staging and prod — so I’m comfortable moving from API contract to a live, monitored rollout without hand-offs.

Beyond shipping code, I write runbooks, collaborate in reviews when my domain comes up, and partner directly with finance, ops and product to turn ambiguous business problems into specs the team can ship. I lean on AI tooling for boilerplate so I can spend more time on system design, debugging and lifting the team around me.

Looking for Backend, Platform or DevOps roles where I can own services from spec to scale — and grow into a tech-lead seat.

2.5+
Years shipping production
3
Environments owned — dev, stage, prod
24×7
First-line on-call rotation
2
Promotions in 2 years
Experience

From internship to software engineer.

2.5+ years of hands-on backend development, progressive responsibility, and production-grade system delivery.

Apr 2026 — Present Full-time · Promoted

Software Engineer

JaaGa.AI · Hyderabad, India
  • Own backend services end-to-end — from API design and data modeling through deployment, monitoring and on-call.
  • Design and ship internal business platforms — configurable pipeline and workflow tooling, scheduling and reminders, role-based access and reporting — taking each from spec through the data model to the React / TypeScript UI.
  • Built a multi-channel marketing and messaging platform on Cloudflare Workers, D1 and R2, integrating several third-party marketing and messaging APIs behind a single interface — replacing a paid SaaS subscription.
  • Architected a payment retry and reconciliation layer — idempotency keys, exponential backoff, signed-webhook verification, dead-letter handling and a daily settlement reconciliation job — plus a UPI collection rail with an operator confirmation step.
  • Write and maintain runbooks for production services; first-line on-call and participate in blameless post-mortems with clear follow-ups.
  • Partner with finance, ops, product and legal — translate ambiguous business asks into precise specs the team ships against.
Apr 2024 — Apr 2026 · 2 yrs Full-time

Backend Developer

JaaGa.AI · Hyderabad, India
  • Designed and shipped revenue-critical services on AWS + MongoDB + Node.js, backed by SQS queue workers for anything slow, retryable or bursty.
  • Integrated a payment gateway end-to-end — checkout, webhook signature verification, idempotent retries with exponential backoff and settlement reconciliation, so a duplicate callback or a dropped response can never double-charge or lose a payment.
  • Built a notification platform — a single consumer fanning one event out to push (FCM), messaging, email and internal channels, with template fallbacks and queue-backed retries; later extended with audience segmentation and A/B variant testing.
  • Automated document processing with an S3 → OCR → LLM extraction → MongoDB pipeline and templated generation, replacing a manual read-and-retype step with a validated, reviewable one.
  • Profiled and tuned hot paths in MongoDB (indexes, aggregations) and Node.js (event-loop pressure) to remove latency bottlenecks under real traffic.
Oct 2023 — Mar 2024 · 6 mos Internship

Backend Developer Intern

JaaGa.AI · Hyderabad, India
  • Shipped REST endpoints in Node.js + Express against MongoDB, contributing to features used in production within the first 3 months.
  • Wrote schemas, queries and validation for new modules; learned the discipline of code review, deployment and debugging real incidents.
  • Converted to full-time on the strength of ownership shown on the document-processing and billing work.
Leadership

Beyond the code.

Leadership for me means taking responsibility, helping teammates succeed with pairing and clear guidance, and communicating openly across engineering and stakeholders—so outcomes ship reliably, not just individual tickets.

01

Collaboration & clarity

Work closely with teammates on tough bugs and design trade-offs; document decisions and edge cases so context spreads without me being a bottleneck.

02

Reliability habits

Ship with the same patterns I want in production: idempotency, retry semantics, observability and tests — so services stay predictable under load and easy for others to change safely.

03

End-to-end Ownership

Took a payment flow from frequent failures to boringly reliable — wrote the spec, drove stakeholder buy-in, shipped the rewrite, set up the monitoring, took first-line on-call.

04

Cross-functional Partner

Daily collaborator with finance, ops, product and legal on revenue and document workflows. Translate ambiguous business asks into precise specs the team can ship against.

05

Incident Response

First-line on-call for backend services. Lead blameless post-mortems, write up RCAs and own follow-up actions to closure — not just “we’ll be more careful next time”.

06

Knowledge Sharing

Wrote runbooks for 3 production services and run monthly internal sessions on Node.js performance, MongoDB indexing and AWS cost-tuning. Lift the floor for everyone.

Skills

What I’m fluent in.

Honest leveling — not a wall of logos. The stack I use to ship and operate services in production.

Education

Continuous learning.

Formal education and certifications in core computer science and emerging technologies.

Master of Computer Applications (MCA)

Osmania University, Hyderabad · In progress
2025 — 2027

Bachelor of Science (BSc)

Andhra Loyola College, Vijayawada
2019 — 2022
Certifications

Certificates & Learning.

FAQ

Quick answers for recruiters.

The questions hiring managers usually ask first — answered in plain English so you don’t have to dig.

Who is Akash Reddy Vanga?
Akash Reddy Vanga — also written as Akash Reddy, Akash, or Vanga Akash Reddy — is a Backend Engineer based in Hyderabad, India. 2.5+ years full-time (plus a 6-month internship) at JaaGa.AI, shipping production systems on Node.js, MongoDB and AWS — backend services, queue workers, payment integrations and the React / TypeScript tools on top of them.
Is Akash Reddy available for hire?
Yes. Open to Backend, Platform, Full-stack or DevOps roles — full-time, hybrid in Hyderabad or remote (IST). Available with a 30-day notice. Reach out at vangaakashreddy@gmail.com or WhatsApp +91 77992 18720. Usually replies within a few hours.
What is Akash Reddy’s tech stack?
Primary (Expert / Advanced): Node.js, Express, MongoDB (incl. GeoJSON / geospatial), AWS (Lambda, S3, SES, SQS), Redis, Docker, Nginx, PM2, Cashfree payments, Tesseract OCR, Puppeteer, Google Generative AI.

Secondary (Contributor): React 18 / 19, TypeScript, Redux Toolkit, TanStack Query & Table, Vite, Tailwind, Zustand. Comfortable across 3 production React/TS frontends.
What kind of systems does Akash Reddy build?
Revenue-critical backend services and the platforms around them: payment-gateway and UPI integrations built for correctness, queue-driven workers for slow or bursty work, OCR + LLM document pipelines, notification and messaging platforms, and internal tooling for the teams that run a business day to day — plus the React / TypeScript front ends over them and the Docker / Nginx / AWS setup underneath. Employer-specific product detail stays confidential; happy to walk through the engineering in an interview.
Where is Akash Reddy based and what timezone?
Hyderabad, Telangana, India. Indian Standard Time (IST, UTC+5:30). Open to hybrid in Hyderabad or fully remote, with flexibility to overlap with US / EMEA / APAC business hours.
How can I see Akash Reddy’s code?
GitHub: github.com/akash-reddy-46. Most production code is in private JaaGa.AI repositories, but I’m happy to walk through architecture, design choices and code samples in an interview — signed NDA if needed.
Other ways to find Akash Reddy Vanga online?
Contact

Let’s build together.

Open to Backend, Platform or DevOps roles — full-time, hybrid in Hyderabad or remote. 2.5+ years shipping production systems on AWS, MongoDB and Node.js. I usually reply within a few hours.

Open to offers Notice: 30 days · faster for the right team Timezone: IST · flexible
Open to hire
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