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Bipasha Bhattacharjee — Backend & AI Engineer, shipping production systems for 4+ years.

Anyone can ship for Day 1.
I build for Day 2.

/journey

The Career Timeline 

From CS fundamentals to AI engineering — every role left behind a system that's still running.

Full Stack & Platform · Dec 2025 – Aug 2026

Tricon Infotech

Software Developer

Built a scalable report-generation framework and testing infrastructure adopted across the team.

  • Designed a report-generation framework (PPTX, PDF, RTF) with 10+ reusable services, cutting development effort 30%
  • Strengthened unit & integration testing, increasing coverage and release reliability
  • Partnered cross-functionally to ship faster, more reliable report generation
PythonFastAPIReactTypeScriptCI/CD
Fintech Infrastructure · May 2025 – Nov 2025

Finbox

Software Developer II

Built secure middleware powering dynamic lender onboarding for a fintech lending platform.

  • Built LISA & middleware service modules in Python for dynamic lender onboarding and automated request workflows
  • Implemented custom authentication, request validation, and error handling for external lender APIs
  • Integrated AWS SSM, Secrets Manager & Docker for secure config and deploys across UAT/production
PythonAWS SSMSecrets ManagerDocker
Cloud-Native & Growth Systems · Oct 2022 – Apr 2025

New Engen

Software Developer

Owned CRM microservices, infra migrations, and growth systems for a marketing platform.

  • Built a microservices CRM platform with bulk email automation, growing client adoption 15%
  • Migrated core infrastructure from MySQL to Firestore, cutting query latency 30% and enabling real-time analytics
  • Designed a real-time budget-pacing system with sub-100ms decisioning and automated optimization for campaign ROI
PythonFirestoreMySQLMicroservicesGCPAWS
Undergraduate · 2018 – 2022

B.Tech — Computer Science

Barak Valley Engineering College, Karimganj

Built the fundamentals — data structures, distributed systems, and software engineering.

  • CGPA 8.06 — Assam Science & Technology University (ASTU)
  • Strong algorithmic foundation — 800+ LeetCode problems solved, CodeForces rating up to 1367
  • Global Rank 11 — Arcesium She Codes
C++JavaAlgorithmsSystems
/systems

Systems I've Built 

Case studies: the problem, what I built, and the impact.

Full-Stack · Productivity

Motive

A block-based workspace — one codebase, three delivery surfaces

  • Shipped a full-stack product to three platforms — web, installable PWA, and native Android — from one codebase.

  • Built real-time collaboration and automated background jobs end to end, with Socket.IO and scheduled cron jobs.

  • Hardened the production API with JWT authentication, rate limiting, and security middleware.

3

delivery surfaces from one codebase

Real-time

Socket.IO sync across sessions

Hardened

JWT auth, rate limiting, helmet on the API

ReactViteCapacitorNode.jsExpressMongoDBSocket.IODocker
Read the case study →
/projects

Projects 

Real, standalone builds — not case studies, just what's actually on my GitHub, including the one that's still half-finished.

Shipped

Automation

hirepro

Manually tailoring a resume for every posting doesn't scale, so I built the pipeline instead. Every morning it pulls fresh postings from a configured company list plus RemoteOK, scores each one against my resume — title match, skill overlap, remote fit — and only generates a tailored resume + cover letter for anything that clears a 60-point match. Everything else gets filtered out automatically.

  • Pulls postings from Greenhouse, Ashby, Lever, and RemoteOK for a configured company list
  • Scores each posting 0–100 against a resume profile (title match + skill overlap + remote fit)
  • Auto-generates a tailored resume + cover letter for anything scoring 60+; tracked in SQLite so re-runs don't duplicate work
PythonSQLiteAutomation
Read the case study →
Shipped

EdTech

loopin

Crack DSA interviews, one loop at a time. An edtech platform for college students and engineers prepping for technical interviews, LeetCode/Coding Ninjas-style.

  • Structured DSA sheets (A2Z, SDE, 79 last-minute, CP) organized Step → Lecture → Problem, with progress bars
  • In-browser Monaco code compiler that runs arbitrary code against custom stdin via a sandboxed executor
  • Per-user profile with streaks, XP, and topic/difficulty mastery tracking
TypeScriptNext.jsMonaco
Read the case study →
Shipped

Machine Learning

TextGen

A natural-language generation app — Bi-LSTM/LSTM networks combined with a pre-trained LLM, tuned with attention mechanisms and prompt engineering for coherent, contextually relevant text.

  • Bi-LSTM + LSTM architecture combined with a pre-trained LLM, trained and served with PyTorch
  • Attention mechanisms + prompt engineering for contextual coherence
  • BLEU/ROUGE evaluation against reference text, plus an interactive Streamlit UI for live generation
PythonPyTorchLSTMStreamlit
Read the case study →
In Progress

EdTech

lexora

A vocabulary-building app — daily word challenges, quizzes, and categories, with progress and achievement tracking to keep you coming back.

  • Daily word challenge, quiz mode, and browsable word categories with a search bar and trending words
  • Per-user progress, achievements, favorites, and shareable word pages
  • Next.js 15 + Prisma/PostgreSQL + Zustand + shadcn/ui, not yet publicly deployed
TypeScriptNext.jsPrismaPostgreSQL
Read the case study →
/skills

Skills 

Grouped by where it's actually been used, not a number I assigned myself.

$ cat skills.manifest

Frontend

  • ReactProduction
  • TypeScriptProduction
  • Next.jsShipped
  • Tailwind CSSThis site
  • Framer MotionThis site

Backend

  • PythonProduction
  • FastAPIProduction
  • MicroservicesProduction
  • PostgreSQLFamiliar
  • RedisFamiliar

Cloud

  • AWSProduction
  • GCPProduction
  • KubernetesFamiliar
  • DockerProduction
  • TerraformFamiliar

AI

  • LLMsShipped
  • Agent WorkflowsFamiliar
  • Prompt EngineeringShipped
  • PyTorchShipped
  • RAGFamiliar

DevOps

  • KafkaFamiliar
  • RabbitMQFamiliar
  • CI/CDProduction
  • ObservabilityFamiliar
  • GitOpsFamiliar

Engineering practices

Automated testingCI/CDObservability & loggingCode reviewContainerized delivery
/dashboard

Developer Dashboard 

Open-source footprint, pulled live from GitHub — nothing here is a repeated stat.

live
0

Public repositories

live
0

GitHub stars earned

live
0

GitHub followers

/achievements

Things I've shipped and hardened over the last 4+ years. 

Numbers, not adjectives — pulled straight from real shipped systems.

/playground

Playground 

Three guardrails from my own writing, made interactive — not generic CS demos.

Effectively-Once Delivery

From my post on idempotent Kafka consumers — a dedup key absorbs a redelivered event instead of double-charging.

waiting for an event…

Charged 0× total — redeliveries never double-charge.

Bounded Agent Loop

From my post on agent guardrails — a step budget stops a runaway loop instead of letting it spend forever.

idle…

Bounded Context vs. Layered Split

From my post on breaking up a monolith — the same fulfilment outage, split by technical layer over sync calls vs. by bounded context over async messaging.

idle…

/contact

Let's Build Something 

Have a system that needs designing, scaling, or rescuing? I'd love to hear about it.

Open to senior backend / AI engineering roles
B

Bipasha Bhattacharjee

India

I design and ship systems that survive production: event-driven microservices, cloud-native platforms on AWS & GCP, and AI products that make it past a notebook demo. I care about clean architecture, observability, and the small decisions that make systems resilient.

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