About
Aspiring AI/ML Engineer with a proven track record in architecting supervised machine learning workflows and advanced generative AI solutions. Expert in end-to-end data preprocessing, feature engineering, and deploying user-centric intelligent tools. Leveraging deep technical expertise in Python and modern ML frameworks to deliver scalable, reliable, and high-impact AI-driven innovations.
Experience3
AI & ML Intern
Dec 2025 — Feb 20263Skill
Built supervised machine learning models in Python with scikit-learn including data preprocessing, feature preparation, model training, and evaluation. Conducted exploratory data analysis using Pandas and Matplotlib to identify data patterns and quality issues. Compared classification model performances and documented findings in collaboration with a 3-person team.
Core Technical Member
Dec 2024 — PresentRNTU Technical Club
Develop and maintain club web tools including event portals and registration workflows using HTML, CSS, and JavaScript. Mentor junior members in Python fundamentals and web development via technical sessions. Coordinate technical event teams and contribute prototypes linking AI concepts to practical student applications.
Gemini Student Ambassador
May 2026 — PresentGoogle
Promote responsible and effective use of generative AI tools among students and faculty on campus. Organize workshops and hands-on demonstrations to translate AI capabilities into practical workflows for students.
Projects3
FlowPilot AI - Autonomous Revenue Operations Platform
Built a full-stack platform that qualifies leads, scores buying intent, and handles sales objections to recover stalled pipeline automatically. Designed a LangGraph agent pipeline covering intent and sentiment classification, lead scoring, action decisions, and AI response generation. Integrated Gemini and OpenAI models, Supabase database, and WhatsApp messaging via Twilio; built a Next.js dashboard with Recharts analytics and a live conversation testing interface.
- Python
- FastAPI
- LangGraph
- Next.js
- TypeScript
- Supabase
AI Smart Classifier - Support Ticket Classification Pipeline
Built an end-to-end multi-class text classification pipeline using TF-IDF features, One-vs-Rest Logistic Regression, and Random Forest models. Created a preprocessing and EDA workflow covering missing values, outlier review, and feature selection; achieved approximately 88% test accuracy.
- Python
- TF-IDF
- Logistic Regression
- Random Forest
Smart Event Management Platform (SEMP)
Developed a lightweight single-page React application that consolidates the full event lifecycle into one real-time, responsive dashboard. Implemented attendee QR badge generation to streamline check-in and event management.
- React
- JavaScript
- HTML
- CSS
Education2
Bachelor of Engineering
2024 — 2028Rabindranath Tagore University (RNTU), Bhopal, MP
Artificial Intelligence
Bachelor of Engineering
2024 — 2028Rabindranath Tagore University (RNTU)
Artificial Intelligence
Certifications5
Data Analytics Job Simulation
Deloitte Australia (Forage)
Solutions Architecture Job Simulation
AWS (Forage)
Generative AI Mastermind: Prompt Engineering and LLM Fundamentals
Ethics of AI
University of Helsinki
Microsoft Copilot for Productivity
Microsoft and LinkedIn