
Yugaank Kalia
Building intelligent solutions at the intersection of Machine Learning and Software Development

GreySeed Studio
Previous
June, 2023
May, 2024
Remote, New Delhi, India
Deployed a deep learning model for HAVENLY (AI parenting expert) and maintained a Flask server, utilizing Python, TensorFlow, and AWS for real-time scalability.

Deloitte
Previous
Jan, 2022
Mar, 2023
Remote, New Delhi, India
Gained expertise in SQL and data analytics, optimizing data management and reporting.

Affable.ai
Previous
Jul, 2021
Jan, 2022
Remote, Singapore
Led data collection, cleaning, and preparation for training machine learning models, ensuring smooth production deployment.
Aug 2024
May 2026
College Park, MD

University of Maryland
Sept 2017
May 2021
Chennai, India

SRM Institute of Science and Technology
2020
Chennai, India
Presenter
Conducted a machine learning workshop, assisting faculty and junior participants with coding complex machine learning algorithms in Python.
2019
Chennai, India
Special Mention
Assisted in developing smart contracts and applying random forest algorithms to identify high-potential startups for a crowd-sourcing funding platform.
2019
Chennai, India
Top 10
Sleep detection system using Python and React.
2019
Chennai, India
Final Round
Smart net metering - created a full stack app.
Turns academic papers into working Python implementations. Upload a PDF, TXT, or Markdown paper and the app extracts core algorithms using RAG + LLM, then generates annotated, runnable code blocks.
Sensor-rich autonomous RC platform built at UMD that can localize, plan, and drive itself. Features YOLO-based object detection on a Raspberry Pi with real-time obstacle avoidance and PWM motor control.
healthwise.ai is a medical diagnoses app and not a replacement for a doctor. It's a web application developed with Next.js, clerk and OpenAI that utilizes artificial intelligence and machine learning algorithms to assist in medical diagnoses. The app can provides potential diagnosis
AI-powered Telegram bot that detects whether uploaded videos are likely AI-generated or real using a PyTorch 3D CNN with temporal clip analysis.
I'm always interested in discussing machine learning, software development, and collaboration opportunities. Feel free to reach out.