Suhas K M

San Francisco, CA · Open to Summer 2026 roles

I'm Suhas, an AI/ML engineer
who builds systems that actually ship.

MS Computer Science at University at Buffalo. Currently doing AI research at the ESC Lab. Before this, spent two years at Brillio on the CTO team working on Gen AI and cloud systems.

Ask me anything →see my work ↓

Education

Master of Science in Computer Science and Engineering

University at Buffalo, SUNY

GPA 3.67 · Machine Learning, Deep Learning, Data Models & Query Languages, Algorithms, Computer Security, AI for Health

Bachelor of Engineering in Information Science and Engineering

New Horizon College of Engineering

CGPA 9.36 / 10 · Graduated with distinction

Experience

Research Aide

ESC Lab, University at Buffalo

  • Designing and building the BIRA (Buffalo Innovation & Research Academy) summer camp website, a multi-page React app with dedicated sub-sites for individual programs, session details, and enrollment flows.
  • Working on an AI-powered food intake detection system that watches parent-child meal videos and detects eating events built the full pipeline from preprocessing through model training and annotated video output.
React.jsTailwind CSSPyTorchYOLOPython

Research Assistant (Volunteer)

University at Buffalo

  • Evaluated security compliance of LLM-generated code (LLaMA 3.1 and GPT) against 12 CWEs across 350+ code samples through manual code review.
  • Benchmarked each model's adherence to Secure Coding Practices and compared CWE violation patterns to identify recurring security weaknesses in LLM-generated code.
LLaMA 3.1GPTCode SecurityCWE Analysis

Associate Engineer

Brillio · CTO Team

  • Spent most of my time here building an AI agent that automatically converted legacy enterprise code (TIBCO BusinessWorks) into modern .NET microservices, got it to 70% accuracy which saved a lot of manual rewriting effort.
  • Built a natural language interface over a 100K-row ServiceNow incident database using Claude via AWS Bedrock so non-technical teams could ask questions in plain English instead of writing SQL.
  • Improved the internal developer portal so new engineers could spin up cloud deployments in 15 minutes instead of 40 minutes.
Gen AIRAGAWS BedrockLangChainOpenSearchDocker

Project Intern

Hindustan Aeronautics Limited

  • Built the data management system for a UAV project in C++, handled communication between the main computer and the drone's sensors, reducing packet loss by 15%.
  • Designed a real-time GUI for sensor monitoring so engineers could track system status without manually reviewing logs.
C++MFCEmbedded Systems

Projects

Food Intake Detection Pipeline

ongoing

An AI system that watches meal videos of parents and kids and detects food intake events. Finetuned R3D-18 Video ResNet on 135 videos (709K labeled frames) hitting 73.1% validation accuracy. Integrated YOLO to crop the child region before inference, which improved eating detection confidence 6x.

PyTorchYOLOR3D-18OpenCVPython

LookThePart

active

A fashion-entertainment iOS + web platform where users tag outfits to TV shows and movies. I handle the entire backend AWS infrastructure, batch content uploads, search with tag disambiguation, and shipped the iOS app via TestFlight.

DjangoSwiftAWS EBPostgreSQLS3

KnowHive

github

Internal knowledge platform that uses GPT-2 to suggest solutions when someone logs an incident. Built the backend APIs and integrated the model reduced average resolution time by 25%.

React.jsFlaskGPT-2MySQL

Mobile app built for Alzheimer's patients that records conversations, identifies who's speaking, and narrates summaries back to the user. Used FaceNet for face recognition and Pyannote for speaker diarization got 85% speaker ID accuracy. This became my IEEE paper.

React NativeFaceNetPyannotePython

Visual Assistant System

Real-time visual aid using YOLOv3 to detect and classify objects in live video feeds for visually impaired users — 92% detection accuracy.

YOLOv3PythonOpenCV

Publication

A Novel Approach to Record and Narrate the Summary of Conversation for Alzheimer Patient

Built an app that helps Alzheimer's patients keep track of who they've spoken to and what was said. It records conversations, identifies speakers using facial recognition and audio diarization, then narrates a summary back to the patient. Published at ICONAT 2023.

↗ View on IEEE Xplore

Skills

PyTorchHuggingFaceLangChainRAGYOLOVideo ResNetScikit-learnNumPyPandas
AWS BedrockClaude APIGPT-4LLaMA 3.1Prompt EngineeringAgentic AIOpenSearch
DjangoFlaskExpress.jsREST APIsPostgreSQLMySQLFirebase
React.jsNext.jsTailwind CSSTypeScriptSwift / iOS
AWS EC2AWS S3AWS EKSAWS BedrockGitHub ActionsDocker
PythonJavaScriptJavaCSQL

Achievements

Brillio Silver Star Award

Brillio · April 2025

Awarded for strong performance and delivering results despite hurdles — recognized specifically for commitment to Excellence and Innovation.

AWS Certified Cloud Practitioner

Amazon Web Services · June 2024

Certified on core AWS services, cloud architecture fundamentals, security, and pricing models.

ICONAT 2023 Publication

International Conference for Advancement in Technology

Published research on an assistive technology app for Alzheimer's patients — facial recognition and speaker diarization to help them recall conversations.

Toycathon — National Level Hackathon

Government of India · 2022

Selected as one of the top 117 winners from over 1.2 lakh participants across India. Built a digital board game in Python around Indian culture and knowledge.

ask me anything

AI prompted with my background ask about my work, research, or availability.

Let's connect.

Open to Summer 2026 AI/ML internships, research collaborations, or just a good conversation about AI systems.

Email meLinkedInGitHub

© 2026 Suhas K M