About
Highly motivated and results-driven AI Engineer and Data Scientist with a strong foundation in Artificial Intelligence, Machine Learning, and Robotics. Proven ability to design, develop, and deploy innovative AI solutions, including Generative AI, LLMs, Computer Vision, and RAG systems. Proficient in Python, Java, and modern web technologies, with hands-on experience in full-stack development, database management, and robust API design. Eager to leverage expertise in cutting-edge technologies to drive impactful projects and contribute to technological advancements.
Work
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Summary
Contributing to the development of cutting-edge Generative AI solutions and robust application infrastructure.
Highlights
Led the development and fine-tuning of Generative AI solutions, including Large Language Models (LLMs) and AI agents, enhancing system capabilities.
Designed and implemented robust APIs using FastAPI, enabling efficient and scalable deployment of complex AI models.
Architected and built high-performance applications leveraging Neo4j Graph Databases and Vector Databases for advanced data management.
Ensured robust and reliable software deployment through comprehensive unit testing and rigorous pre-commit procedures.
Fostered cross-functional collaboration with diverse teams to streamline development workflows and ensure seamless integration of AI solutions.
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Summary
Focused on developing and optimizing data science models for real-time applications and material analysis.
Highlights
Developed and deployed a real-time YOLO-based object detection system, significantly improving surveillance and anomaly detection capabilities.
Optimized and evaluated advanced anomaly detection models, leading to enhanced performance and accuracy.
Engineered and deployed a Retrieval-Augmented Generation (RAG) system for automated material analysis, improving data retrieval efficiency.
Education
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Bachelor of Technology
Computer Science Engineering (Artificial Intelligence)
Grade: 8.74 CGPA
Courses
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Data Structures and Algorithms
Robotics
Operating Systems
Database Management Systems
Awards
Finalist, DD ROBOCON 2024
Awarded By
ABU Robocon
Achieved Finalist status in the highly competitive DD ROBOCON 2024, demonstrating advanced robotics and engineering capabilities.
Finalist, E-Yantra 2024-25
Awarded By
E-Yantra
Recognized as a Finalist at E-Yantra 2024-25, highlighting innovation in embedded systems and robotics.
Published Research Paper
Awarded By
ICCUBEA 2024
Authored and published a research paper at ICCUBEA 2024, contributing to academic discourse in AI/ML.
Languages
English
Proficient
Hindi
Fluent
Marathi
Native
Skills
Databases
Graph Databases (Neo4j), Vector Databases, Supabase PostgreSQL.
Programming Languages
Java, Python.
Software Engineering
Data Structures, Algorithms, Unit Testing, Pre-Commit Procedures.
Artificial Intelligence & Machine Learning
Machine Learning Algorithms, Generative AI, Computer Vision, Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG).
Robotics & Operating Systems
ROS2 (Robot Operating System), Gazebo, rviz2, Linux OS.
Web Development
HTML, CSS, JavaScript, React.js, Next.js, WordPress, Streamlit.
Tools & Technologies
Docker, Git, GitHub, FastAPI, Groq, SerpAPI, NewsAPI, BeautifulSoup4, LangChain, OpenCV, YOLOv8, YOLOv5, OCR, Strapi, Node.js, REST APIs.