Rudraksh Agarwal is a product engineer building full-stack products — from backend services and event-driven systems to the agentic AI features that bring them to customers.

Philosophy

Product engineer with 4 years of experience building full-stack products, from backend services, REST APIs, event-driven systems, ETL pipelines, and workflow orchestration to the agentic AI features and frontends that bring them to customers. I partner closely with product managers and customers to take ambiguous problems from scope to shipped products.

Professional Experience

2019 — PRESENT

Software Engineer · Faster Outcomes

2026 — PRESENT

Driving end-to-end development (frontend and backend) of a new healthcare platform built from scratch, partnering directly with PMs and customers to scope and ship features for wellness clinics. Built a ReAct-style agentic workflow that generates patient assessments via MCP tools over patient records, and a Temporal-based sync service ingesting files from third-party legal/EHR systems — 10K+ files synced across 100+ active cases.

PYTHON TEMPORAL MCP AGENTIC AI GCP

Software Engineer · Wipro Linecraft AI

2020 — 2024

Led a team of 4 engineers across the product's core services. Built a real-time, event-driven loss-detection system ingesting multi-logger streams every 500ms (cutting manual monitoring 50%), re-architected a core ETL pipeline in Python with Luigi for 6x faster runs, and owned the backend API layer powering the Manufacturing Analytics suite. Stood up Prometheus/Grafana monitoring that cut outage detection from hours to under a minute, and containerized 5 services into Docker.

PYTHON NODE.JS LUIGI DOCKER PROMETHEUS GRAFANA

Co-Founder · Light AI Labs

2023

Conceptualized an Agentic product to reduce context switching in workspace in a Pre-Agentic Era.

AI AGENTS PRODUCT STARTUP

Global Remote Mentorship Intern · IBM

2020

Finetuned BERT on a technical corpus using MLM, NSP, and Sequential Question Generation. Built a PyTorch language model combining a multilayered BERT-based span selection model with an Attention-over-Attention architecture, trained on a GPU cluster — achieving an F1 score of 57.7 on the TechQA dev set.

PYTORCH BERT NLP

ML Intern · My Next Film

2019

Converted text stories into movie scripts using NLP. Worked with Coreference Resolution, POS Tagging, Dependency Parsing, and Named Entity Recognition.

PYTHON SPACY NLP

Selected Projects

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Academic Foundations
SUNY Buffalo
M.S. Computer Science (Systems Track)
Courses: OS, Computer Architecture, Networking, Databases, ML, Advanced Algorithms.
2024 — 2025
IIT Delhi
B.Tech Engineering Physics
Received Merit and Means Scholarship.
2016 — 2020
Toolkit
  • Python / Node.js
  • FastAPI / Flask / Temporal
  • LangChain / LangGraph
  • GCP / AWS / Docker
  • PostgreSQL / PgVector / Redis
  • Prometheus / Grafana

Open to interesting problems.

Focused on agentic systems, distributed systems, and full-stack products. Always happy to connect.