ML Engineer @ Sarvam AI
Samvaad
Jun 2026 – Present
How I Work
From idea to production, emphasizing measurement, automation, and continuous optimization across AI infrastructure and full-stack systems.
90%
Bug reduction via Canary
700+
Daily active LLM users
7+
Years of experience
Ship fast · Measure impact · Iterate continuously
Journey
SDE II @ Juspay
Xyne - AI Infrastructure
LLM Inference & MLOps · 2025 – Present
- → Spearheaded AI Infrastructure team deploying open-weight LLMs on 8x H200 GPU nodes with vLLM and SGLang
- → Patched vLLM for Kimi K2.5 compatibility, achieving production deployment within one week of release
- → Led cross-functional teams (Frontend, Backend, QA) to deliver the open-source Xyne platform
vLLM SGLang LiteLLM VespaDB Ray H200 GPUs
Euler Dashboard
Full-Stack Platform Leadership · 2023 – 2025
- → Led Backend and Frontend teams, mentoring engineers and driving technical excellence
- → Reduced production bugs by 90% through Canary deployment strategy
- → Integrated enterprise features: Slack API, OAuth 2.0, Passkey, and Google SSO
Haskell ReScript React Jenkins Kubernetes
SDE I
Led Payment Page engineering team. Reduced PureScript compile time by 6× through strategic refactoring. Built DevTools application for payment flow verification.
6× faster compile times
PureScript React Jenkins
Associate SDE
Full-stack payments development. Improved Android render time by 66% with pre-rendering. Migrated data pipeline from Python to Haskell using Streamly.
66% render improvement
Android Python Haskell
FP Developer Intern
Enhanced cross-platform framework performance by 10% through JS-Java bridge optimization.
10% performance gain
JavaScript Java Android
Technical Toolkit
v
vLLM
High-throughput LLM serving inference engine
S
SGLang
Structured generation for LLMs
L
LiteLLM
Unified LLM proxy (700+ users)
K
LMCache
KV cache optimization
V
VespaDB
Vector database for RAG systems
O
Ollama
Local LLM deployment
Education
Bachelor of Engineering in Computer Engineering
Pune University – Government College of Engineering and Research, Avasari (kd)
CGPA: 8.06 | 2015 – 2019