Available for ambitious engineering challenges

Lead Software Engineer · Ahmedabad, India

I architect systems
that scale.

Eight years building resilient backends, real-time products, and AI systems — from first request to 30M+ monthly users.

Leet Hudka
10M+requests / day
<50msp99 latency
30M+monthly users
8+years shipping

01 Selected work

Systems with
measurable impact.

A selection of platforms I've led from architecture through scale.

01

Product Lead · Backend Architecture & AI/ML

CricTracker

A global cricket platform rebuilt for massive peaks, intelligent discovery, and truly live match experiences.

30M+ monthly users100M+ page views<50ms p99 latency

Architected a 10M+ requests/day platform with MongoDB sharding, Redis clustering, Apollo Federation across 8+ microservices, and real-time Socket.io updates for 50+ concurrent matches.

Node.jsGraphQLMongoDBRedisAWSLangChain
02

Lead Developer · Full-stack Platform

Clubmatch

A high-availability booking ecosystem made faster, modular, and ready for mobile-first growth.

10K+ active users60% less latency6 microservices

Decomposed a monolith into discoverable gRPC services, tuned connection pools and database queries, and created a Redis pub/sub layer for live booking and cross-service notifications.

FastifygRPCNext.jsSocket.ioDockerAWS
03

AI Document Processing · Pre-visa Verification

GoSuro

An intelligent document pipeline that turns complex verification into fast, explainable decisions.

RAG + OCRFraud signalsVector analysis

Built an end-to-end OCR workflow with vector comparison, semantic categorization, anomaly detection, and compliance verification for pre-visa documents.

Node.jsOCREmbeddingsLangChainPostgreSQLS3

02 What I do

Depth where
it matters.

I work across the stack, but my sharpest edge is turning high-load, high-stakes requirements into systems teams can understand and evolve.

A

Backend systems

Node.js, Express, Fastify, GraphQL federation, REST, gRPC, API gateways, microservices and distributed system design.

B

Data at scale

MongoDB sharding and aggregation, PostgreSQL indexing, Redis clusters, partitioning, query batching and connection pooling.

C

Applied AI

RAG pipelines, LangChain, vector embeddings, semantic search, face detection, OCR processing and AI personalization.

D

Cloud & real-time

AWS, Cloudflare, Docker, CI/CD, Socket.io, pub/sub, queues, load balancing, observability and horizontal scaling.

NODE.JSGRAPHQLREDISPOSTGRESQLMONGODBLANGCHAINAWSNEXT.JSNODE.JSGRAPHQLREDISPOSTGRESQL

03 The journey

Built from the
ground up.

Trainee Engineer

MERN fundamentals. Small projects. A relentless appetite to understand how products work end to end.

Junior → Senior Developer

APIs, SaaS platforms, white-label systems, mobile backends and a growing focus on GraphQL and scalable architecture.

Lead Software Engineer

Enterprise architecture, technical direction, AI/ML integration and mentorship for teams of 10–20 engineers at Yudiz Solutions.

Certified

Redis Certified Developer

GraphQL Developer — Associate

B.E. Computer Engineering · 2018

04 Engineering notes

Learning in public,
soon.

Practical field notes on performance, architecture, and applied AI. The first essays are in the lab.

01

The sub-50ms playbook: finding the latency hiding in plain sight

Coming soon
02

Beyond the monolith: what six services taught me about boundaries

Coming soon
03

RAG in production: relevance is a systems problem

Coming soon

05 Start a conversation

Have a hard problem?
Let's build through it.

Say hello