
Nilesh Kumar Parmar
@nileshkumarparmar
I build reliable payment, distributed backend, and production LLM systems.
What I'm looking for
I've built production systems for IPSERLAB clients DysputeAI and Feedzai, replacing a critical external LLM dependency with a fine-tuned Qwen model, cutting verification latency from about 900ms to 400ms, and building fraud, document-intelligence, and API credential services on AWS.
Previously, I delivered idempotent payment and retry systems at Paras Industries that eliminated duplicate charges and recovered $2K+ in daily revenue. I also fixed C++ memory leaks and race conditions in NVIDIA GPU driver code, while expanding automated test coverage across 10+ GPU architectures.
Experience
Work history, roles, and key accomplishments
Software Engineer
Ipserlab
Oct 2025 - Present (11 months)
Developed production ML services and LLM systems, including fine-tuning a model to replace an external API and orchestrating workflows on Convex.
Education
Degrees, certifications, and relevant coursework
Northeastern University
Master of Science, Information Systems
2023 - 2025
Pursuing a Master of Science in Information Systems at Northeastern University, focusing on the intersection of technology and business.
University of Mumbai
Bachelor of Engineering, Electronics and Telecommunication Engineering
Earned a Bachelor of Engineering in Electronics and Telecommunication Engineering from the University of Mumbai.
Tech stack
Software and tools used professionally
AWS Glue
GitHub
Kubernetes
Jenkins
GitHub Actions
PostgreSQL
MongoDB
Node.js
Spring Boot
Next.js
Redis
JavaScript
Java
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
OpenTelemetry
Linux
Gemini
GraphQL
gRPC
Deepgram
pytest
SQL
XGBoost
Valgrind
LangChain
Convex
Cursor
GitHub Copilot
pgvector
Agentic
Modal
LangGraph
Model Context Protocol (MCP)
100ms
Qwen
Axolotl
Claude Code
Matrix
Availability
Location
Authorized to work in
Job categories
Skills
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