CHAITANYA

Chaitanya

Software engineer building Agents, Evals and Harnesses @ Microsoft · Grand Award winner @ ISEF 2017

I build agentic AI systems — currently shipping multi-agent orchestration and eval frameworks for Microsoft 365. Before that, end-to-end ML at an early-stage startup, across time-series forecasting, LiDAR segmentation, and computer vision. My core expertise spans LLM orchestration, RAG, prompting & evaluation, and distributed systems — data pipelines, event processing, observability.

  • Agentic AI
  • Multi-agent orchestration
  • LLM evals
  • Distributed systems
  • Robotics

Experience

2021 — present
Software Engineer II, AI Platform & Distributed SystemsMicrosoft

Core contributor to Team Copilot's multi-agent orchestration engine — task decomposition, agent tooling, enterprise grounding, and LLM-judge eval frameworks across Microsoft 365.

2020 — 2021
AI EngineerCrescer AI

Owned three production ML systems end-to-end at an early-stage startup: solar performance-loss prediction, bathymetric LiDAR segmentation, and Siamese-network video auto-labeling.

2020 — 2021
Software Engineer Intern (×2)Microsoft

Client-side caching cut page load time by 73%; built the Planner → Project import flow.

2018 — 2020
General SecretaryACM Manipal Student Chapter

Organised expert talks, workshops, and competitions for the student chapter.

Featured builds

ALL PROJECTS →
Solo, an autonomous ground vehicle, navigating an obstacle course

Solo

An autonomous unmanned ground vehicle built with Project Manas for the Intelligent Ground Vehicle Competition (IGVC) at Oakland University. Helped win IGVC 2019 and several other awards.

Real-time vein visualization output from SAMIS

SAMIS

A smartphone-based vein-imaging system that uses visible-spectrum image processing to visualize subcutaneous veins without IR hardware, aimed at making IV access easier for nurses. Won Second Place Grand Award in Biomedical Engineering at Intel ISEF 2017 and the Grand Award at IRIS 2016.

Magniwear AR/VR microscope headset

Magniwear

An AR/VR microscope on the Google Cardboard platform, operated hands-free by voice while exploring biological samples, doubling as a dental loupe and a live-streaming tool for remote guidance. Selected top 90 globally, Google Science Fair 2015.

Illustrative conversation trace: user and agent speech envelopes, a barge-in where the agent yields, and an ASR/LLM/TTS latency budget

ProxyTalk

A real-time voice-agent platform: a streaming ASR → LLM → TTS pipeline over SIP/WebSocket with VAD, turn-taking, and barge-in, built on the OpenAI APIs. Sub-1,000ms p95 end-to-end latency.

Awards & achievements

Certificate naming Minor Planet (34016) Chaitanya, MIT Lincoln Laboratory

Minor Planet (34016) Chaitanya

Named by MIT Lincoln Laboratory's Ceres Connection program, following the Second Place Grand Award in Biomedical Engineering at Intel ISEF 2017.

Microsoft Patent Award trophy for "Method and System of Intelligent Risk Analysis and Risk Mitigation for a Project", awarded to Chaitanya

3 patents filed

Filed at Microsoft, for risk assessment and mitigation recommendations in projects, and for better context extraction for task execution.

5× hackathon winner

Microsoft internal hackathon wins, with multiple ideas adopted into the product roadmap.

Publications

GOOGLE SCHOLAR →

Latest posts

ALL POSTS →
  1. 2020.09.01SpineNets: a scale-permuted way to design convolutional networks