About
Highly motivated M.Tech (Computer Science & Engineering) graduate from VIT Chennai (CGPA: 9.20) with hands-on experience in building and deploying Python-based applications, scalable data pipelines, and GenAI/LLM-driven solutions. Adept in Data Analytics, Machine Learning, Software Development, and Cloud Computing (GCP) with strong proficiency in Python, Pandas, NumPy, and Terraform. Proven ability to work cross-functionally to deliver production-grade AI solutions that optimize performance, accelerate workflows, and drive data-informed business decisions.
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Skills
Programming Languages
Python, C Programming, JavaScript, TypeScript, Java Programming, SQL, HTML, CSS
AI/Machine Learning/Data Science
Machine Learning, Deep Learning, GenAI Pipelines, LLMs, Prompt Engineering, Computer Vision, Data Analytics, Data Structures and Algorithms, Linear Regression, Facial Recognition
Cloud Platforms & DevOps
GCP (Google Cloud Platform), AWS (Amazon Web Services), Terraform, Tekton, Cloud Computing, Hadoop, Linux
Web Development
Next.js, React, Flask, HTML, CSS, JavaScript, TypeScript
Data Visualization & BI Tools
Tableau, Power BI, Qlik Sense, Looker Studio, Dashboarding
Databases & Data Processing
PostgreSQL, BigQuery, Firestore Firebase Studio, AgMarkNet, Pandas, Numpy
Tools & Software
Jupyter Notebook, PyCharm, OpenCV, Excel, OpenAI, Alteryx, Pega, Kaggle, Figma, Canva, LaTeX
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Work
Ford Business Solutions
GenAI Engineer Intern
TCR Innovation
Machine Learning Engineer Intern
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Projects
Krishi Mithr AI - Smart Farming Assistant
Built an AI-driven agricultural assistant providing real-time crop health analysis, market insights, and multilingual guidance. Integrated Gemini LLM, Vertex AI, BigQuery, and Google Maps API to process 1.6L+ crop records and live weather feeds. Developed 6+ AI tools (disease detection, voice assistant, market tracking) improving decision-making for farmers in 100+ districts. Delivered a 3D avatar-based AI assistant supporting 3+ languages, increasing accessibility for non-English users by 40%. Tech Stack: Next.js, React, TypeScript, Firebase, Vertex AI, BigQuery, Pinecone, Looker Studio
Smart Attendance Monitoring System Using Facial Recognition
Automated attendance tracking using FaceNet + KNN, achieving 96.5% accuracy and reducing manual effort by 85%. Built a web-based interface with Flask, enabling real-time webcam capture and database logging. Tech Stack: Python, OpenCV, Flask, FaceNet, NumPy, HTML, CSS, JavaScript
Prediction Model On Car Price
A B.E 4th Year Project to build a Car Price Prediction Web App using Linear Regression.
Sign Detection System Using OpenCV
A B.E 3rd Year Project to build a Sign Detection system using OpenCV.
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Education
Computer Science and Engineering
Vellore Institute Of Technology
Computer Engineering
Vidyalankar Institute Of Technology
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Awards
Top 120 Teams - Google Cloud Agentic AI Hackathon
Achieved recognition as one of the top 120 teams for developing an innovative solution to provide farmers with expert help on demand.
Best Student
Awarded as the best student for academic excellence and overall performance in the 11th and 12th batches (2017-2019) of Knowledge 360 Class.
Maharashtra State Inter School Table Tennis Team Champion
Recognized as a champion in inter-school table tennis for multiple years (2013-14, 2015-16), demonstrating dedication and teamwork.
Maharashtra State Inter School Table Tennis Team Champion
Recognized as a champion in inter-school table tennis for multiple years (2013-14, 2015-16), demonstrating dedication and teamwork.
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Publications
Unpacking the Black Box: An Exploration of the Algorithms Driving Social Media Networks
International Journal of Innovative Science and Research Technology
Prediction Model On Car Price
Journal of Emerging Technologies and Innovative Research
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