Software Engineer and MS Computer Engineering student at NYU Tandon with strong experience in building scalable backend systems, data-intensive pipelines, and cloud-native platforms. Previously at McKinsey (MIO Partners), where I architected and piloted a serverless data lake using AWS Glue, Iceberg, Athena/Presto, and S3, reducing Excel extract runtimes by 58% and cutting data-field fetch latency by ~70% via columnar I/O, parallelism, and optimized partitioning.

I’ve also built full-stack and ML-driven systems—including real-time facial-expression–powered media interfaces (Next.js + PyTorch), a trailer booking backend system (similar to Uber), and a production-grade LLM ops pipeline (FastAPI + vLLM + Redis Streams + Prometheus/Grafana).

My work spans distributed systems, ML systems, backend architecture, DevOps, and full-stack development.

I am currently pursuing my Master’s in Computer Engineering at NYU and am actively seeking Full-Time Software Engineer roles (SDE) starting in 2025–2026. I’m particularly interested in roles involving:

• Backend engineering (distributed systems, APIs, databases)

• Full-stack development (React/Next.js + backend/API + infra)

• Cloud infrastructure & data engineering (AWS, Iceberg, Glue, Spark)

• ML Systems / LLM infra (FastAPI, PyTorch, vLLM, deployment, optimization)

With hands-on experience in architecting production systems, cloud-native data workflows, and modern ML pipelines, I’m excited to bring high-impact engineering to fast-moving teams.

• New York University
  Master's in Computer Engineering (September 2024 - Present)
  Coursework: Introduction to Machine Learning, Probability and Stochastic Process, Internet Architecture and Protocols

• Vellore Institute of Technology
  Bachelor of Technology in Computer Science and Engineering (July 2018 - May 2022)

Programming Languages & Frameworks

Cloud & DevOps

Machine Learning & Data

Databases