AI Engineer & Researcher | IIT Madras DS ’26 | Gen AI, Agents | Ex-HackerRank SME
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
birdclef-2026-model-and-analysis
May 28, 2026 – Present
Custom EfficientNet-B0 (5-fold, CV AUC 0.9564), OOF-tracking experiments, and a cross-validation→leaderboard inversion finding from BirdCLEF+ 2026.
View Projectdockduo
April 17, 2026 – Present
Tiny AI companions that live on your Windows taskbar. Click one to open a Claude, Codex,Gemini terminal. Built with Tauri + Rust.
View Projectmultilingual-sentiment-analysis-qlora
April 15, 2026 – Present
Fine-tuned Gemma-3-1B-IT with QLoRA on a 13-language Indian sentiment dataset (NPPE-DLP-2026) — achieving ~0.85 Macro F1 via 4-bit quantization, language-aware prompting, and SFTTrainer.
View Projectwhisper-multilingual-asr
April 13, 2026 – Present
Zero-shot multilingual speech recognition for English, Hindi and Tamil using OpenAI Whisper Large-V3
View Projectoss-veda
April 9, 2026 – Present
Wisdom for your next open source contribution. oss-veda runs 5 parallel scouts across GitHub, Hacker News, Reddit, HuggingFace, and Papers with Code, then ranks AI/ML issues by career impact — combining repo momentum, maintainer visibility, and your skill fit. Built on the Agent Skills standard with native subagents.
View Projectfinetuning_Gemma_2b_model
February 19, 2026 – Present
In this notebook I finetuned Gemma 2b model to a differnet dataset
View Projectlifeskillwebapp_project
August 16, 2025 – August 18, 2025
lifeskillwebapp_project — GitHub repository
View Projectfinancial_genius_agent
June 3, 2025 – Present
An intelligent financial advisory system showcasing 5 key Gen AI capabilities: Structured Output/JSON Mode, RAG (Retrieval Augmented Generation), Embeddings, Function Calling, and LangGraph Agents. Analyzes spending patterns, provides personalized recommendations, and answers finance questions with evidence-based advice.
View ProjectBitcoin_price-prediction-using-RNN-and-LSTM
June 3, 2025 – June 3, 2025
🚀 Bitcoin price prediction using RNN & LSTM neural networks with 30-day forecasting. Complete ML pipeline with data extraction, preprocessing, and time series analysis.
View ProjectCosmicWatch
May 28, 2025 – Present
The **Cosmic Intelligence Space Debris tracking System** is an advanced space debris monitoring system that combines real-time satellite tracking data with sophisticated machine learning models to predict collision risks and visualize space debris in Earth's orbit. This revolutionary platform integrates data from multiple sources including CelesTra
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI/ML and a drive to explore various applications, which aligns well with an innovative and research-oriented culture. The diversity of projects, from financial systems to space debris tracking and multilingual sentiment analysis, indicates a broad interest and adaptability. However, the lack of team projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach, with a focus on cutting-edge AI technologies. The personal nature of all projects suggests strong intrinsic motivation and problem-solving skills. However, without formal work experience or psychometric test results, it's difficult to assess operational fit, teamwork, or stress handling.