Make scale measurable
Profile first, find the real constraint, and prove the improvement with numbers.
Looking over Manhattan, New York, from the Brooklyn Bridge. Just before Super Hackathon New York 2025.
Pune, India · Building enterprise software since 2020
Backend depth.
Full-stack perspective.
I'm Anuj Tambe, a full-stack developer focused on the APIs, data flows, and platform decisions that make complex products feel dependable.
93%
lower memory footprint
on a bulk-load service
on a bulk-load service
3 days
to deliver a critical
validation replacement
validation replacement
5+ yrs
building reliable
enterprise software
enterprise software
01 / Profile
Engineering that stays calm under pressure.
I turn operational complexity into software that is easier to use, reason about, and scale.
My work spans Python and TypeScript services, GraphQL API composition, caching, automation, and performance engineering. I care about the invisible details: clear contracts, useful failure modes, measured performance, and systems that teammates can confidently extend.
That foundation lets me contribute across the stack while bringing particular depth to backend architecture and enterprise workflows.
Design for the operator
Reliable software respects the people who run, debug, and maintain it every day.
Bridge systems clearly
Strong API boundaries turn fragmented services into coherent product experiences.
02 / Selected impact
Proof, not adjectives.
Selected enterprise work spanning AI prototyping, distributed APIs, and performance engineering.
AI & workflow automation
2025
Citco Hackathon · 1st place
Turning complex legal setup workflows into an AI-assisted experience.
Designed a GenAI agent concept to automate complex legal setup activities. The solution won first place and was selected for presentation to executive stakeholders in New York's Financial District.
API architecture
Enterprise
Unified reporting
One reporting surface across fragmented services.
Engineered TypeScript and GraphQL microservices using schema stitching to unify APIs into a high-performance reporting aggregator.
Performance engineering
93% reduction
4 GB → 250 MB
A smaller memory footprint with a bigger reliability margin.
Optimized bulk-load services to cut memory use from 4 GB to 250 MB, improving operational reliability and infrastructure efficiency.
Platform services
Low latency
Entitlements at speed
Fast authorization checks for clients and internal teams.
Built FastAPI services with Redis caching to reduce verification latency and keep access checks responsive at enterprise scale.
03 / Experience
Built in the real world.
Six years of solving operational problems where performance, access, and accuracy are not optional.
Open full résuméIT Developer
Citco
- Built TypeScript and GraphQL reporting services that unified APIs through schema stitching.
- Designed FastAPI and Redis-backed entitlements services to reduce verification latency.
- Created Python performance suites and mock data generators for high-volume event simulations.
- Delivered a critical indexing and validation replacement in three days.
Programmer Analyst
Cognizant
- Developed a centralized gate access and inventory management solution for facility and asset monitoring.
- Integrated real-time data tracking to improve warehouse inventory workflows and reporting accuracy.
- Partnered across teams to identify process delays and automate critical edge-case testing.
Education
B.E. in Computer Science
Lakshmi Narain College of Technology & Science · RGPV University
04 / Technical stack
Tools chosen for the problem.
Comfortable moving from service architecture and data access to API integration, test automation, and delivery.
01
Languages
- Python
- TypeScript
- Go
- SQL
02
APIs & services
- FastAPI
- Node.js
- Express
- GraphQL
- REST APIs
- gRPC
03
Data & architecture
- PostgreSQL
- Redis
- Schema stitching
- Microservices
- Monorepos
04
Delivery & quality
- Docker
- Git & GitHub
- Linux
- Performance testing
- Automation
Research publication
2018
Read paper
Prediction and Analysis of Student Performance using a Hybrid Model of Multilayer Perceptron and Random Forest
Co-author · IEEE conference publication
Recognition
- 01Citco Hackathon
1st Place · 2025 - 02Employee of the Quarter
Q1 · 2024 - 03Badminton
State-ranked player · India