CV

Master of Science

Columbia University

Electrical Engineering

• Applied Machine Learning
• Generative AI
• Deep Learning
• Big Data Analytics
• Natural language Processing
• Statistics

Bachelor of Technology

Vellore Institute of Technology

Electronics & Instrumentation Engineering

• Neural Networks & Fuzzy Control
• Data Structures and Algorithms
• Digital Signal Processing
• Process Control & Automation

AI/ML Intern

Nokia of America Corporation

Research on standardization process for AI/ML applications in 6G with Nokia Standards team, and development of AI/ML models (Autoencders and LLMs).

• Generative AI & Data Science
• SDLC, MLOps, LLMOps

AI Researcher

Indian Space Research Organization

Worked on High Speed data acquisition & verification using FPGAs for Forest fire detection(CNN with input speed of 1.7 GB/s), Sensors Development Area(SEDA) Group member

• Deep Learning & Computer Vision
• Python, MATLAB, FPGA, LabVIEW

Network Security & Instrumentation Intern

Indian Oil Corporation Ltd.

Analyzed network security of MPLS & SD-WAN and performed A/B testing, Network & Instrumentation division

• Statistical Analysis
• Python, Tableau, Sensor design

Medical Chatbot with RAG Architecture and AI Agents

Developed a Medical Chatbot using Retrieval-Augmented Generation (RAG) architecture, integrating finetuned models, AI agents, and vector databases for accurate medical query responses.

• RAG, LLM finetuning, LangChain, VectorDB, AI Agents

Suspect Recommendation System

Built a Suspect Recommendation System using Random Forest and XGBoost, achieving a 20% improvement in predictive accuracy for crime analysis.

• Random Forest, XGBoost, Hyperparameter Tuning, Classification Metrics, MLOps.

SqueezeNet - CNN Design Strategies for Efficient Low-Cost Computing

Optimized SqueezeNet for edge devices, achieving 62x computational efficiency and deploying models on GCP for scalable low-power solutions.

• SqueezeNet, CNN, Low-Cost Computing, GCP, VertexAI, Edge Devices, Model Efficiency

Time-Series Forecasting of Climate Change Data

Designed LSTM and MLP models for climate data forecasting, leveraging distributed computing frameworks like Apache Spark and Airflow for scalability.

• Time-Series Forecasting, ARIMA, LSTM, MLP, Apache Spark, Airflow, Hadoop, BigQuery, PySpark

Department Representative

Engineering Graduate Student Council (Columbia University)

Electrical Engineering Department Representative, managed 15+ events.

• Awardee for Best Volunteer
• Organization and Management

Assistant Organizer

Blind People's Association

Assitant organizer for the annual 'Blind Walk' event, which aims to raise awareness about the challenges faced by visually impaired people.

• Awardee for Best Organizer
• Organized 15+ events

Professional Development & Leadership Award

Columbia Engineering

Highly competitive award for leadership and professional development(only 25 off 3000+ students).

Merit Scholarship

VIT University

Awarded for academic excellence for 4 consecutive years, ranked 4/164 students.