About
B.Tech IT (AI & ML) student and Machine Learning Intern with hands-on experience building end-to-end data science pipelines in Python and SQL — from data preprocessing and feature engineering to model benchmarking, hyperparameter tuning, and reproducible deployment. Seeking to apply strong analytical, statistical, and software-engineering fundamentals to deliver measurable business impact.
Experience2
Machine Learning Intern
Jan 2025 — PresentFlyRank AI
Structured end-to-end ML workflows including problem framing, data pipeline design, feature engineering, and model evaluation with documented outputs. Engineered reproducible ML pipelines using Joblib with clear performance metrics (F1, R², MSE). Developed Resume Assistant RAG Chatbot using LangChain, ChromaDB, and Anthropic API as a formal internship assignment.
AI/ML Intern
Jun 2024 — Aug 20243Skill Training
Completed an intensive 2-month AIML internship (ISO 9001:2015, MSME, DPIIT certified) focusing on supervised learning pipelines using Scikit-learn and TensorFlow applied to real-world datasets and presented a capstone project.
Projects6
Fine-tuned YOLOv8x on a 2,390-image multi-condition road-sign dataset, achieving [email protected] of 95.2% and [email protected]:0.95 of 82.7% with precision 93.8% and recall 91.5%. Co-authored a research paper and received a formal Letter of Recommendation from GTBIT.
- Python
- YOLOv8x
- OpenCV
TactiVision-AI — Football Tactical Analysis
Developed an end-to-end AI football analytics pipeline using YOLOv8 for player detection, ByteTrack for multi-object tracking, and HSV team classification to convert raw match footage into structured tactical data.
- Python
- YOLOv8
- ByteTrack
- OpenCV
SGPA / CGPA Predictor — ML Web App
Benchmarked five regression models on 900+ student records; serialized best model and deployed interactive Streamlit app with live sliders.
- Python
- Scikit-learn
- Streamlit
- Joblib
Wine Quality Prediction — ML Pipeline
Developed an end-to-end classification pipeline including EDA, feature engineering, multi-model benchmarking, and hyperparameter tuning with GridSearchCV; prepared model for deployment.
- Python
- Scikit-learn
- GridSearchCV
- Pandas
AI-Based Hiring Prediction
Built hiring-outcome classification model focusing on data cleaning, encoding, feature selection and model benchmarking. Identified and flagged target-leakage issues demonstrating strong data integrity rigor.
- Python
- Scikit-learn
- Pandas
Resume Assistant RAG Chatbot
Developed a RAG pipeline with ChromaDB vector store and HuggingFace inference API for contextual semantic retrieval, delivered as a full-stack AI product during internship.
- LangChain
- ChromaDB
- HuggingFace
- Anthropic API
Education3
B.Tech
2023 — 2027Guru Tegh Bahadur Institute of Technology (GTBIT), GGSIPU
Information Technology (AI & ML Specialisation)
Class XII
2023 — 2023Kendriya Vidyalaya (KV)
PCM + Computer Science
Class X
2023Kendriya Vidyalaya (KV)