Bipasha Bhattacharjee
Software Engineer • AI Engineer • System Builder
Summary
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.
Experience
Tricon Infotech
Full Stack & PlatformSoftware Engineer
- Built React + TypeScript front-ends backed by FastAPI services
- Designed REST/event APIs and improved system observability
- Containerized workloads and shipped on Kubernetes
React · TypeScript · FastAPI · Python · Kubernetes
Finbox
Fintech InfrastructureBackend / Systems Engineer
- Event-driven pipelines with Kafka & RabbitMQ for reliable processing
- Microservices for low-latency data ingestion and scoring
- Hardened services for correctness, idempotency, and scale
Python · Kafka · RabbitMQ · Microservices · AWS
New Engen
AI & Cloud NativeAI / Backend Engineer
- Shipped LLM-backed workflows and agentic automations
- Cloud-native services across AWS & GCP with autoscaling
- Owned end-to-end delivery from design to production rollout
Python · FastAPI · LLMs · GCP · AWS · Kubernetes
Education
M.Tech — Artificial Intelligence
Focused on machine learning, deep learning, and applied AI systems.
B.Tech — Computer Science
Built the fundamentals — data structures, distributed systems, and software engineering.
Skills
Frontend: React, TypeScript, Next.js, Tailwind CSS, Framer Motion
Backend: Python, FastAPI, Microservices, PostgreSQL, Redis
Cloud: AWS, GCP, Kubernetes, Docker, Terraform
AI: LLMs, Agent Workflows, Prompt Engineering, PyTorch, RAG
DevOps: Kafka, RabbitMQ, CI/CD, Observability, GitOps
Achievements
- Global Rank 11 — Arcesium She Codes — Top 11 worldwide in a competitive algorithmic challenge.
- 800+ LeetCode Problems Solved — Sustained algorithmic practice across DS, DP, graphs, and more.
- 3+ Years in Production — Shipping resilient systems across fintech, AI, and platform teams.
- M.Tech in Artificial Intelligence — Advanced study in ML, deep learning, and applied AI systems.
- Sub-100ms Decisioning — Real-time streaming platform serving low-latency decisions.
- 20+ Systems Shipped — Full-stack products, microservices, and AI workflows in production.