About
Highly analytical and results-oriented AI/ML Developer and Full Stack Engineer with a strong foundation in Computer Science and Engineering. Proven ability to design, develop, and deploy advanced AI solutions, including Retrieval-Augmented Generation (RAG) models and AI/ML-driven recommendation systems, enhancing efficiency and user engagement by up to 30%. Expert in leveraging cloud platforms (GCP), FastAPI, and various AI/ML frameworks to build scalable and fault-tolerant applications. Demonstrated leadership in UI/UX and a passion for data-driven insights and problem-solving, backed by a track record of competitive achievements and impactful research projects.
Work
Summary
Contributed to the development of advanced AI solutions, focusing on enhancing model efficiency and data insights for enterprise applications.
Highlights
Spearheaded the design and implementation of a Retrieval-Augmented Generation (RAG) model, boosting AI agent efficiency and accuracy by 30% for impactful enterprise solutions.
Optimized team collaboration and project delivery through strategic leverage of Google Cloud Platform (GCP), resulting in a 20% reduction in workflow inefficiencies and accelerated turnaround times.
Enhanced AI model capabilities by integrating Neo4j Aura graph database, accelerating data insights by 40% and revealing complex data relationships.
Summary
Developed an AI/ML-driven movie recommendation website, focusing on personalized content delivery and system optimization.
Highlights
Engineered an AI/ML-driven movie recommendation platform, elevating user engagement by 25% through personalized content suggestions.
Implemented FastAPI to achieve 20% faster real-time data transfer, optimizing recommendation delivery.
Utilized Google's Universal Sentence Encoder for precise document vectorization, enhancing recommendation accuracy by 30%.
Education
Awards
5th Rank in Smart India Hackathon
Awarded By
Smart India Hackathon
Secured 5th rank in the national Smart India Hackathon, demonstrating strong problem-solving and technical skills.
Rank 1 in Codechef JUIT Chapter DSA Series Episode 2
Awarded By
Codechef JUIT Chapter
Achieved 1st rank in the Codechef JUIT Chapter Data Structures and Algorithms Series, Episode 2, showcasing competitive programming excellence.
Rank 3 in Codechef JUIT Chapter DSA Series Episode 1
Awarded By
Codechef JUIT Chapter
Secured 3rd rank in the Codechef JUIT Chapter Data Structures and Algorithms Series, Episode 1, demonstrating early proficiency in competitive programming.
Languages
English
Fluent
Skills
AI/ML & Data Science
Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Data Analysis, TensorFlow, PyTorch, LangChain, OpenAI API, Gemini API.
Programming Languages
Python, FastAPI, SQL.
Web Development & APIs
API Development, RESTful APIs, Pydantic.
Cloud & DevOps
Google Cloud Platform (GCP), Docker, Git.
Programming Languages
C/C++, JavaScript, HTML/CSS.
Web Development & Frameworks
Flask, Streamlit.
Data Science Libraries
Scikit-learn, pandas, NumPy, Matplotlib, XGBoost.
Databases & Tools
DBMS, Neo4j, Data Cleaning, VS Code, Jupyter, Google Colab, BeautifulSoup/BS4, tesseract OCR, duckduckgo_search, Serper API.
DevOps & Deployment
CI/CD, Railway.
Core Computer Science
Problem Solving, Object-Oriented Programming (OOP).
Core Computer Science
Operating Systems (OS), Compiler Design, Networks, Graph Databases, Thunder Client, LM studio, tqdm.