About Me
I am a Master's student in Artificial Intelligence at Northeastern University, with concentrations in Machine Learning and Distributed Systems, and experience in applied machine learning, research prototyping, and software development.
My work focuses on translating research ideas into practical systems, evaluating model performance, and building reliable applications across constrained and scalable environments.
Education
M.S. Artificial Intelligence
Northeastern University, Seattle, USA
Jan 2026 – Present · ML & Distributed Systems
B.E. Artificial Intelligence & Machine Learning
Don Bosco Institute of Technology, India
2020 – 2024
Status
Open to research internships, AI/ML engineering, and software roles.
Research Experience
Research Intern
CSIR – National Aerospace Laboratories Aerospace Electronics & Systems Design Division · Sept – Oct 2023- Architected a real-time assistive navigation system for visually impaired users, under Senior Scientist Mr. Pradeep Kumar B.
- Engineered optimized TensorFlow Lite models for Raspberry Pi / Arduino, achieving 15 FPS inference at <100ms latency.
- Applied quantization and pruning to reduce model size by 65% while maintaining 89% accuracy on 2GB RAM devices.
- Iterated on the system architecture across 8+ revisions to meet strict constraints of <512MB memory and <2W power.
- Synthesized findings from 40+ research papers to validate the indoor navigation prototype.
Projects
Research & Applied ML
Obstacle Detection System
Real-time obstacle detection for visually impaired users using TinyML and TensorFlow Lite on Raspberry Pi.
GitHubWeather Prediction
Compared classical ML models using cross-validation and evaluation metrics for forecasting tasks.
GitHubDocSearch Query Rank
A document retrieval and ranking system that indexes research abstracts, applies TF-IDF and BM25 ranking, and evaluates performance using TREC metrics — achieving 0.72 MAP@10 and 0.78 NDCG@10 across 1,400 research abstracts.
GitHubRecommendation System
Built using collaborative filtering and embedding-based approaches, evaluated with ranking metrics such as Precision@K and NDCG — improved Precision@10 by 18% (0.34 vs 0.29) using neural embeddings on MovieLens-100K.
GitHubRAG Research Agent
A fully local, privacy-preserving AI agent that lets you query academic PDF papers in plain English. Built on a RAG architecture with an agentic ReAct reasoning loop — PDFs are parsed, chunked, embedded locally, and stored in a vector database. Returns cited answers with source file and page number. No API keys, no data leaves your machine.
GitHubAI & Software Engineering
AI-Assisted Exam Evaluation
Automated grading pipeline using BERT-based semantic scoring, reaching 85–90% agreement with human teachers. Hybrid evaluation for descriptive and coding questions with an isolated code-execution module and a ±20% deviation alert, cutting manual grading time by 60%.
GitHubHousing Price Predictor
Regression-based system with feature engineering and hyperparameter optimization.
GitHubSamrakshan – Disaster Rescue
Full-stack Flutter/Firebase platform with real-time geolocation and weather APIs serving 1,000+ users, cutting emergency coordination time by 40%. State-funded by KSCST and ranked top 15 of 200+ submissions at the 2024 Student Project Program.
GitHubSkills & Proficiencies
Languages
Frameworks
AI / ML
Tools
Development
Embedded Systems
Cloud & Platforms
Environments
Let's build something
Open to research internships, AI/ML engineering, and software roles.
Achievements
Certifications, recognitions, and milestones across research, innovation, and industry events.
CSIR-NAL Research Internship
Completed research internship at CSIR-National Aerospace Laboratories, Bengaluru (Sep 2023).
Worked on an obstacle detection system for visually impaired under Sr. Scientist Mr. Pradeep Kumar B.
CSI Volunteer – Bengaluru Fintech Summit 2024
Volunteered at the Bengaluru Fintech Summit (BFS) 2024, organized by the Computer Society of India.
Represented Don Bosco Institute of Technology at this national-level fintech event.
State Govt. Funding – SAMRAKSHAN (KSCST)
SAMRAKSHAN project received state-level funding from Karnataka State Council for Science & Technology, 47th Student Project Programme 2023-24.
One of select submissions approved for government grant funding.
Team Mentor – Smart India Hackathon 2024
Served as Team Mentor at the Smart India Hackathon 2024 Nodal Center at DBIT.
Guided student teams through India's largest national hackathon organized by the Ministry of Education.
YUKTI Innovation Challenge 2023 – Final Round
Team reached the final pitching round of YUKTI Innovation Challenge 2023, MoE's Innovation Cell.
Shortlisted for panel-based funding assessment (March 13–16, 2024).
YUKTI National Innovation Repository – MoE
Registered in YUKTI National Innovation Repository by MoE's Innovation Cell, Govt. of India (Sep 2022).
Platform for submitting ideas and innovations for national-level recognition and funding support.
Selected for KSCST State Level Exhibition 2024
SAMRAKSHAN selected for State Level Exhibition at Sharnbasva University, Kalaburagi (Aug 9–10, 2024).
Listed in KSCST 47th SPP as one of the top projects chosen for state-level showcase.
Delegate – IIC Regional Meet 2023
Participated as Delegate at IIC Regional Meet 2023 at REVA University, Bengaluru (Dec 9, 2023).
Organized by MoE's Innovation Cell & AICTE for student innovators across the region.
Executive – TiE Global Summit Bangalore 2024
Attended TiE Global Summit Bangalore 2024 across IISC, BIEC & Infosys Campus Mysuru (Dec 9–12).
A premier global entrepreneurship and innovation summit co-hosted by Govt. of Karnataka.