For me, the most exciting part of technology isn't writing code - it's seeing an idea evolve into something that solves a real problem. That mindset has shaped my journey from a curious engineering student to someone deeply interested in Data Science, Machine Learning, and Artificial Intelligence.
I learn best by building and challenging myself, which is why I've participated in 25+ hackathons, challenges, and innovation programs. These experiences taught me how to work under pressure, collaborate with teams, and transform concepts into working solutions.
My journey has also included being selected for Amazon ML Summer School and reaching the finals of Smart India Hackathon (SIH). Today, I'm focused on exploring AI, NLP, and Generative AI while continuously learning through projects, experimentation, and real-world problem solving.
Experiences that shaped my journey in AI and Machine Learning.
Samniti Technologies
Recently joined as an AI Engineer Intern, contributing to AI-driven product development and automation initiatives. Collaborating with the team to explore real-world applications of Machine Learning, LLMs, and intelligent systems while gaining hands-on industry experience.
Wizcoder
Built an NLP-powered sales analytics assistant that converted natural language questions into database queries, enabling conversational business intelligence across multi-table datasets. Designed scalable data workflows and implemented intelligent routing for accurate real-time insights.
Amazon ML Summer School 2025
Gained hands-on exposure through expert-led sessions by Amazon scientists on advanced ML topics including DNNs, LLMs, Causal Inference, and Reinforcement Learning.
Building solutions that solve real-world problems.
An AI-powered system that automates the evaluation of Detailed Project Reports (DPRs) by analyzing compliance, risks, and guideline adherence. Built using NLP, hybrid PDF extraction, and RAG to process multilingual and scanned documents, reducing manual review efforts from hours to minutes.
A multi-modal AI wellness platform that analyzes behavioral, wearable, Wi-Fi, and conversational data to assess mental health risks. Leverages LangGraph workflows and LLM-powered reasoning to generate personalized wellness insights and automated reports.
An AI-powered business intelligence assistant that allows users to query databases using natural language directly from Slack. Converts user questions into SQL queries, retrieves relevant insights, and delivers real-time analytics through a conversational interface.
Developed a multimodal ML pipeline for product price prediction using image, text, and structured data. Leveraged ResNet50V2, TF-IDF, and LightGBM to extract meaningful features from noisy catalog data and achieved a top 25% leaderboard ranking in Amazon ML Challenge 2025.
Want to see more?
Check out my other projects on GitHubRecognitions earned through learning, building, and competing.
Learning beyond the classroom.
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