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ANISH SHEJAWALE
PORTFOLIO / 2026

ANISH
SHEJAWALE

BACKEND DEVELOPERIN / UTC+5:30

I build APIs and data models — and run what I ship.

FIG. 01 — HOW A CLOSED TRADE REACHES THE TRADER'S SCREENWRITE PATH / IDEMPOTENT
MT5 AGENTINGEST APIPOSTGRESQLCACHERULESBROWSERidempotent writesin-process · per userdrawdown · targetsunder 1s end to endinvalidate on write
01 / SELECTED WORK02 PROJECTS
01

PROPVEXIS

→ VIEW CASE STUDY

A multi-tenant SaaS trading journal for prop-firm traders. Designed, built and operated solo.

Node.js · Fastify · PostgreSQL · Socket.IO · AWS
02

LUXORA

→ VIEW CASE STUDY

A full MERN storefront built end to end — catalogue, cart, cash-on-delivery checkout, and a separate operator console.

React · Express · MongoDB · Cloudinary · Render
02 / EXPERIENCE
MAY 2025 — PRESENT

BACKEND DEVELOPER

Varahe Analytics → Kamakhya Analytics

Building and maintaining the backend APIs, data pipelines and internal dashboards the analytics teams run on, across Django, PostgreSQL and MongoDB.

SELECTED IMPACT
Cut database load 40% with ORM and Redis caching
Automated the data audit into a transcribe-and-validate pipeline
Hardened auth across MongoDB and PostgreSQL systems
DEC 2024 — MAY 2025

FULL STACK DEVELOPER

OpenStudyAI

Owned the platform's front-end architecture end to end and automated its AI content generation on AWS Bedrock.

SELECTED IMPACT
Automated AI content generation on AWS Bedrock
Designed the entire front-end architecture
Improved scalability 30% by optimising Redux state
FULL HISTORY→ RESUME
STACK
BACKEND
Node.js · Fastify · Express · Django · Python · REST · WebSockets
DATABASES
PostgreSQL · MongoDB · Redis · MySQL · SQL · Query optimisation
CLOUD & DEVOPS
AWS · EC2 · S3 · IAM · SSM · Docker · Kubernetes · Terraform · GitHub Actions · CI/CD · Linux
AI & LLMS
Claude / OpenAI APIs · Prompt & context engineering
FRONTEND
React · Next.js · TypeScript · Redux · Tailwind CSS
OBSERVABILITY
Prometheus · Grafana · Sentry
03 / ABOUT

I'm a software engineer interested in understanding what happens underneath the abstraction.

P.S.

Most of this gets built late at night, with filter coffee and a Counter-Strike round between deploys.

Two years building the systems behind data-heavy products in Node.js and Django. Alongside work I designed, built and operate PropVexis, a live multi-tenant SaaS, entirely on my own — including the AWS infrastructure, CI/CD and monitoring underneath it.

Lately that has extended to applied AI: using models as components inside real systems rather than as demos, with the same attention to failure modes, cost, and latency.

→ DOWNLOAD RESUME
CURRENTLY
BUILDING
PropVexis — real-time trading infrastructure
LEARNING
Applied AI engineering
EXPLORING
Cloud architecture and distributed systems
OUTSIDE WORK
Counter-Strike · Coffee · Building things
04 / ASKKNOWLEDGE SYSTEM ONLINE

ASK ME
ANYTHING.

Instead of searching through my portfolio, ask my AI assistant about my experience, projects, technologies, or what I'm currently building.

KNOWLEDGE BASE
PROJECTS02
EXPERIENCE02
TECHNOLOGIES34
CURRENT FOCUSACTIVE
ASK ABOUT MY EXPERIENCE, PROJECTS, OR WHAT I'M BUILDING
ASSISTANT STATUSREADY
SUGGESTED QUERIES

Answers are generated by Google's Gemini from a fixed set of facts, so check anything that matters — and note Google may use what you type to improve their models. Questions are logged here too, anonymously: no IP, no answers, no way to tie them to you. The conversation itself isn't stored and goes when you close the tab.

LET'S BUILD
SOMETHING
INTERESTING.