Chetan Sai Borra
A passionate individual who always thrives to work on end to end products which develop sustainable and scalable social and technical systems to create impact.
Resume
At a glance
Projects, experience, and a short intro
Telecom KPI Anomaly Detection Using AI Agents
Multi-agent AI system with LangGraph, MCP, and anomaly detection for real-time KPI monitoring.
Image-to-Video Generation of Anime/Comics
3D latent video diffusion with 71.8% SSIM improvement over baseline.
ML Engineer – Student · Utilities and Energy Services, Texas A&M University
Designing scalable time-series ML pipelines for anomaly detection and forecasting across 200+ operational systems. Python, Pandas, SQL, deep learning and statistical models (Isolation Forests, ARIMA). Feb 2025 – Present.
Who I am
A passionate engineer who thrives on end-to-end products—sustainable, scalable systems that create impact. MS in Computer Engineering at Texas A&M; focus on Machine Learning, Computer Vision, and Robotics.
Achievements
TAMU Datathon
Won the Best Use of MongoDB award for G-3, an intelligent Google Workspace assistant that unifies 20+ Google services into one natural language interface with context-aware conversations.
Aggie Invent
Our team 'Bio Ditch' secured 2nd Place ($2,500) and won the Best Prototype Award at Aggie Invent for the Planet! Developed an AI-driven solution to reduce nitrates in farm runoff, combining environmental science with sustainable farming practices.
Selected Projects
End-to-end projects: research and deployed prototypes
Telecom KPI Anomaly Detection Using AI Agents
Multi-agent AI system with LangGraph, MCP, and anomaly detection for real-time KPI monitoring.
Image-to-Video Generation of Anime/Comics
3D latent video diffusion with 71.8% SSIM improvement over baseline.
RAG from YouTube for Long-Form QA
RAG pipeline transforming video into searchable knowledge with LangChain and LLMs.
Meal Nutrition Analysis via Multi-Modal Deep Learning
CNNs, LSTMs, and demographic embeddings—34% accuracy boost.
Autonomous Navigation with RRT* and A*
ROS 2 motion planning with A*, RRT*, and pure-pursuit control.
Face Tracking Robot
4-wheeled mobile base with computer vision for person following.
Education
Academic journey and achievements
Texas A&M University
Master of Science in Computer Engineering
GPA: 4.0/4.0
Focus: Machine Learning, Computer Vision, and Robotics
Vellore Institute of Technology
Bachelor of Technology in Electronics and Communication Engineering
GPA: 9.02/10.0
Technical Skills
Technologies and tools I work with
🤖 AI Engineer
🤖 Robotics Engineer
📊 Data Scientist
Get in Touch
Open to internships and full-time roles. Email is best for quick responses.