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krishrveera/README.md

Hey there, I'm Krish Veera ๐Ÿ‘‹

MS Computer Science @ Columbia University ยท ML Researcher ยท AI Engineer ยท Builder of Things ๐Ÿš€

Portfolio LinkedIn Google Scholar Email


๐Ÿ‘จโ€๐Ÿ’ป About Me

  • ๐ŸŽ“ MS in CS (ML Track) at Columbia University (Expected Dec 2026), BS CS (Cum Laude) from USF
  • ๐Ÿ”ฌ Current: Bayesian Optimization research at Columbia's CEALab as product owner of AutoRAD, automating audio tuning for blind & low-vision gamers ๐ŸŽฎ
  • ๐Ÿ’ผ Recently: Data Engineering Intern @ Honeywell, where I built a patent-pending knowledge-graph pipeline and a 10TB+ telemetry analytics dashboard ๐Ÿญ
  • ๐Ÿ“ Published at EMNLP 2025: Idea Originality Scoring (Built at CSSAI Lab) ๐Ÿ†
  • ๐Ÿฅ Researched at Bridge2AI Voice on AI models for remote voice-based health monitoring ๐Ÿ—ฃ๏ธ
  • ๐Ÿง  Passionate about ML systems, LLM inference, and data engineering, building tools that make a difference!
  • ๐ŸŒ Speak 5 languages: Hindi, English, Gujarati, Marathi & Kutchi, plus the ones I code in โšก

๐Ÿ’ผ Experience

๐Ÿญ Data Engineering Intern ยท Honeywell Technologies ยท Atlanta, GA ยท Mayโ€“Aug 2026

  • Built a data contextualization pipeline (Databricks, Neo4j) turning enterprise schemas into a persistent knowledge graph across 4 production use cases, cutting response time from 2โ€“8 hours to 20 seconds at 79% accuracy, now approved for patent filing
  • Built an analytics dashboard (Spark SQL, Streamlit) with drilldown across a five-tier data hierarchy, deployed on a 3-customer PoC over 10TB+ of streaming telemetry, adopted by the Honeywell Data Science team

๐Ÿ”ฌ Graduate Research Assistant ยท Computer Enabled Abilities Lab (CEAL) ยท New York, NY ยท Jan 2026โ€“Present

  • Product owner of AutoRAD, a Bayesian Optimization system (BoTorch) that replaces manual audio tuning in CEAL's Racing Auditory Display, personalizing cue parameters for blind & low-vision players in the CARLA simulator, in collaboration with Aalto University

๐Ÿ† Featured Projects

๐ŸŽ™๏ธ AriaPitch Cornell Health AI Hackathon ยท Pitched at Columbia LionsCage

A web-based voice health screening tool. Records voice samples, extracts acoustic biomarkers, and uses a trained ML ensemble to screen for benign vocal fold lesions.

  • ๐Ÿง  ML ensemble (SVM + RF + XGBoost) trained on B2AI voice data
  • ๐Ÿ“Š 129 acoustic features extracted via OpenSMILE + Praat
  • ๐Ÿšฆ Flag system with actionable recommendations

React Flask scikit-learn XGBoost OpenSMILE

๐Ÿฅ MedClear ยท ๐Ÿ† Track Prize Winner Columbia Health Hacks ยท Underserved Demographics Track

A deterministic medical billing verification engine. Programmatically audits hospital bills by cross-referencing line-item charges against Medicare Fee Schedules.

  • ๐Ÿ” 7 independent, composable verification engines
  • ๐Ÿ“ก Live CMS Medicare Physician Fee Schedule API queries
  • ๐Ÿ’ต Produces structured, dollar-quantified discrepancy reports

FastAPI Python CMS API Data Parsing

๐Ÿ›ก๏ธ RecallGate MongoDB Harness Engineering Hackathon

An on-demand monitor for cyber-capable agents. Reads an action's cheap system footprint and escalates to an expensive LLM monitor only on unfamiliar behavior, then remembers every verdict so monitoring gets cheaper over time.

  • ๐Ÿงฉ Two-tier cheap/expensive design with a hard-signal safety override
  • ๐Ÿ”Ž $vectorSearch memory of incidents in MongoDB Atlas
  • ๐Ÿ“‰ Attack recall 1.00 while expensive-call rate bends downward

Python MongoDB Atlas Vector Search LLM

โšก Temporal Semantic Caching for Agentic Pipelines Extension of IBM's AssetOpsBench

A temporal query classifier + parallel execution layer that optimizes latency in industrial LLM agent pipelines.

  • โฑ๏ธ 3.48ร— lower median end-to-end latency
  • ๐Ÿš€ 296ร— less tool-discovery overhead
  • ๐Ÿ”ฌ Exposed semantic similarity as an unreliable cache-validity signal

LLM Inference FAISS MCP GCP


๐Ÿ”ฌ Research & Publications

๐Ÿ“„ MuseScorer: Idea Originality Scoring At Scale ยท Published in EMNLP 2025

๐Ÿ“„ AI Can Elevate Creativity in Social Networks ยท Accepted at npj AI (Nature portfolio)

๐Ÿ“„ Temporal Semantic Caching for Agentic Pipelines ยท Preprint (2026), extends IBM AssetOpsBench


๐Ÿ› ๏ธ Tech Stack & Activity

Languages

Python C++ JavaScript SQL

ML / AI

PyTorch Scikit-Learn HuggingFace XGBoost

Data Engineering

Databricks Spark Kafka Neo4j

Frameworks & Tools

React Node.js Flask FastAPI Docker Git

Cloud & Databases

GCP AWS Azure PostgreSQL MongoDB


๐Ÿ… Highlights

๐Ÿ† EMNLP 2025 Publication ยท MuseScorer, Idea Originality Scoring

๐Ÿฅ‡ Columbia Health Hacks (Track Prize) ยท MedClear, Underserved Demographics Track

๐Ÿ“œ Patent-Pending Pipeline @ Honeywell ยท Knowledge-graph data contextualization

๐Ÿ“Š Google Data Analytics Certificate ยท Professional Certification

๐ŸŽ–๏ธ Dean's Circle of Merit (Service) ยท USF Judy Genshaft Honors College

๐Ÿš€ GDSC Executive President ยท 426% membership growth, 50+ events


Building ML systems that make real things work, one pipeline at a time. ๐Ÿš€

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  1. AgentProctor AgentProctor Public

    Python

  2. amlicPrefillDecodeDisaggregation amlicPrefillDecodeDisaggregation Public

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  3. MedClear MedClear Public

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