AI Engineer • Data Scientist • Data Engineer • ML Engineer • Data Analyst
I am a Data Science graduate student at Texas A&M with experience spanning AI engineering, data engineering, and applied data science. My work focuses on building systems that are scalable, reliable, and directly support data-driven decision-making.
2024 – Present
2023 – 2024
2022 – 2023
AI-powered resume screening app that analyzes and ranks resumes against job descriptions using BERT embeddings (60%), LLaMA 3.2 evaluation (25%), and keyword matching (15%). Built with Streamlit and Python.
Automated itinerary planner using REST APIs and LLMs to generate budget-friendly travel plans with real-time flight, hotel, and attraction data, ranked via BM25 + embeddings, and RAG-generated itineraries.
Developed a U-Net deep learning model in PyTorch to detect cotton fields from satellite images with 92% IoU. Achieved 88% segmentation accuracy, automating crop area estimation and reducing manual inspections by 50%.
Built an academic research assistant using RAG & LangChain for fast paper retrieval and summarization. Implemented FAISS + SciBERT for efficient document retrieval, enhancing search relevance by 40% and reducing research retrieval time by 60%.
Developed a traffic congestion prediction model using scikit-learn, feature scaling, and time-series analysis. Evaluated Random Forest, Lasso, Ridge, and Polynomial Regression, improving traffic volume prediction accuracy by 30%.
Integrated deep learning model using CNNs to classify metastases in histopathological images from the PatchCamelyon (PCam) dataset. Applied data augmentation and batch processing, achieving an F1 score of 0.8768.
Aug 2024 – Dec 2025
CGPA: 4.0
Courses: Data Mining & Analysis, Mathematical foundation for Data Science, Statistical Foundation for Data Science, Databases & Computational Tools Used in Big Data, Information Storage and Retrieval (Search Engines, Recommender Systems, Large Language Models), Natural Language Processing, Applied Analytics with R programming, Reinforcement Learning, Data Science Capstone.
Jul 2018 – May 2022
CGPA: 3.8
AARUUSH, National-level Techno-Management Fest, SRM Institute of Science and Technology
2019 - 2022
Led a team of 50+ committee members, ensuring smooth coordination across sponsorship, marketing, and event highlights. Organized summits, guest lectures, and exhibitions, managing logistics, hospitality, and stakeholder engagement. Secured key sponsorships and partnerships to fund multiple large-scale events. Developed strong teamwork, communication, and crisis management skills, ensuring seamless execution under high-pressure situations.
SRM Institute of Science and Technology
2018 - 2022
Spearheaded the sponsorship team, bringing in partners and sponsors for multiple coding events. Organized workshops, coding challenges, and hackathons, attracting participation from diverse technical communities. Strengthened skills in public relations, negotiation, and leadership, effectively coordinating with stakeholders and managing deadlines under pressure.
I'm always interested in new opportunities and collaborations. Feel free to reach out!