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.
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 — PRESENTSoftware Engineer · Faster Outcomes
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.
Software Engineer · Wipro Linecraft AI
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.
Co-Founder · Light AI Labs
Conceptualized an Agentic product to reduce context switching in workspace in a Pre-Agentic Era.
Global Remote Mentorship Intern · IBM
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.
ML Intern · My Next Film
Converted text stories into movie scripts using NLP. Worked with Coreference Resolution, POS Tagging, Dependency Parsing, and Named Entity Recognition.
Selected Projects
VIEW ALL GITHUBAgentic Dataset Curator
Agentic tool to clean raw datasets and chat with your data. Supports multi-step planning for complex data operations with natural language queries via LangGraph.
Agentic Job Application Drafter
An agentic workflow that polls RSS job feeds and drafts a tailored application per listing — using a Browser Use agent to extract form fields and an LLM to attach values and auto-fill applications.
- 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.