Resume

Master of Science in Intelligent Information Systems

Carnegie Mellon University

• Introduction to Deep Learning
• Advanced Natural Language Processing
• Introduction to Question Answering

Bachelor of Engineering in Information Science and Engineering

JSS Science and Technology University

• Python Programming
• Data Mining
• Statistics
• Calculus
• Linear Algebra
• Mathematical Modeling

Associate Technical Consultant

Adobe

Worked on AI/ML model integration and automation for Adobe Workfront and Fusion platforms.

• Finalist, Adobe India AWS DeepRacer competition.
• Built documentation generator and automation checker for Fusion.
• Semi-finalist in Adobe Summit Sneaks (2025).

Computer Vision Intern

Nosh Robotics

Worked on autonomous cooking robots with embedded vision systems.

• Trained CNN models (ResNet, Inception, MobileNet) for ingredient cooking-level estimation.
• Optimized and quantized models for deployment on edge devices.

Research Intern

IIT Hyderabad, Dept. of Heritage Science and Technology

Worked on motion capture and mobile camera data analysis to evaluate differences and improve synchronization methods.

• Developed evaluation metrics to compare motion capture and mobile camera data.
• Ensured time synchronization between different data sources.
• Applied time series analysis and mathematical curve smoothing techniques.
• Gained research lab experience in computer vision and machine learning.

Technical Consultant Intern

Adobe

Developed an AI-powered tool for enhancing social media posts using generative AI and Adobe Workfront Fusion.

• Integrated ChatGPT, Stable Diffusion, and Photoshop Actions into Workfront.
• Built caption generation, image generation, and editing workflows.
• Enhanced productivity for marketers, copywriters, and designers.
• Presented tool to senior leadership and received appreciation.

Market Research Intern

Changepay

Conducted market research and relationship-building initiatives at a fintech start-up.

• Supported research and analysis on fintech products.
• Built strong client and partner relationships.
• Collaborated effectively in a small start-up team environment.

FoodieSpot Conversational Agent

Built a conversational AI agent for restaurant reservations using LLaMA-3.1-8B with tool calling and RAG.

• Integrated APIs and designed conversation flow.
• Ranked reservations and provided smart recommendations.

RAG on 10K filings

Implementation of Retrieval-Augmented Generation (RAG) with source citations.

• Integrated APIs and designed conversation flow.
• Provided logical answers across many models for a given query.

Minesweeper

An AI agent for playing Minesweeper by making safe logical moves to avoid mines—a fun demo.

• Inferential logic for playing games

Finalist, AWS DeepRacer India Competition

Adobe

Ranked 7th out of 115, built ML model for self-driving cars.

Winner, Hackmitten Hackathon

MIT Thandavapura and LingoTran

Built a tool to measure pronunciation accuracy in Portuguese using Google APIs, soundwave analysis, and DTW for variable-length audio files. First NLP project.

Winner, Prayog Hackathon

Vidya Vardhaka College of Engineering

Developed a Yoga app for pose estimation using vector angle differences for joint accuracy. Integrated ChatGPT API for a customizable chatbot.

Winner, SwarmIT Hackathon

Hewlett Packard Enterprise and GSSS Institute of Engineering and Technology for Women

Built a hospital appointment booking app with efficient patient queueing. Developed a CNN for skin disease diagnosis and an algorithm using Google Traffic API for doctor allocation.

Winner, Hackfest Hackathon

t-hub and Inter Continental Exchange

Built a multi-use application including code-to-flowchart conversion, complexity analysis, maintainability index calculator, and malicious Git commit tracker. Integrated Flask, Hugging Face APIs, and Flutter.

Machine Learning Lead

Google Developer Student Clubs (GDSC)

Organized and conducted ML/DL workshops and mentored student projects.

• Led ML workshops with 100+ participants.
• Guided peers in deploying AI models in real-world applications.