// based in Bengaluru, India

Abhishek
Srivastava

Full-Stack Engineer Applied AI

I build multi-tenant backends and ship generative AI into production — RAG pipelines, image generation, and segmentation models running reliably on Azure. 2+ years across products for clients in Singapore, the UK, and an Indian PSU.

01

About

The part of engineering I actually care about is what happens after the demo works. Getting a model to generate one nice image is easy; keeping it reliable under real traffic is the real job — so I tend to think in latency budgets, failure modes, and guardrails before I think in features.

That shows up in how I build. I like capabilities that fail independently instead of taking the whole service down, config-driven systems where onboarding a new client is a database row and not a redeploy, and infrastructure engineered to run lean. I'd rather own a service end-to-end — schema, safety gates, deploy — and cut first-view latency from 29 seconds to 11 than ship a feature nobody asked for.

I'm most at home where backend rigor meets messy AI behavior, and I'm still hungry to go deeper — lately I've been sharpening on Go and distributed systems while finishing a master's in AI/ML.

02

Experience

Mar 2025 — Present

Software Engineer · Misfits Communications

Full-stack and generative-AI engineering

  • Helped split a monolithic workflow into an orchestrator + specialized microservices (Query Intent, Workflow, RAG Retrieval, Image Generation…), enabling independent deployment.
  • Built a FastAPI service unifying virtual try-on, floor visualizer, and wall-paint on one port with fault-isolated sub-app mounts.
  • Shipped SAM 3 + MobileSAM + Segformer masking with tap-to-refine UX; cut try-on first-view latency ~29s → ~11s.
  • Rebuilt RVNL's legacy site into MERN with an 81-table bilingual (EN/HI) schema, JWT + RBAC, audit logs, and an approvals workflow.
May 2024 — Feb 2025

Python Developer · MP Research Work

Backend engineering on client-facing REST APIs.

  • Designed and shipped CRUD REST APIs in Python (FastAPI, Django, Flask) with clean resource routing, consistent response envelopes, and proper HTTP status semantics.
  • Modeled data with SQLAlchemy/ORM and enforced request/response contracts using Pydantic schemas for validation, serialization, and auto-generated OpenAPI docs.
  • Implemented pagination, filtering, and sorting on list endpoints, plus token-based auth and role checks to guard create/update/delete operations.
  • Built third-party integrations and leaned on FastAPI's async endpoints and dependency injection for testable, non-blocking I/O.
  • Optimized PostgreSQL query performance and wrote PyTest unit/integration suites to reduce regressions across releases.
03

Projects

04

Tech Stack

Languages

  • Python
  • TypeScript
  • JavaScript
  • SQL

Backend

  • FastAPI
  • Node.js
  • Express
  • Go

Frontend

  • React
  • Next.js
  • Vite
  • Tailwind CSS

Data & AI

  • PostgreSQL
  • MongoDB
  • Redis
  • Chroma
  • OpenAI
  • Gemini
  • HuggingFace

DevOps & Cloud

  • Docker
  • Azure
  • GCP
  • GitHub Actions
  • Git

// let's build something

Have a project or a role in mind?

I'm open to conversations about backend architecture and applied-AI work. The fastest way to reach me is email.

abhishek0wb@gmail.com