I like Programming and AI.
Sept 2024 - Present
Working directly with the executive leadership, developing interfaces and applications that leverage LLM capabilities, while also ensuring smooth integration into custom-developed products that serve clients' needs.
Sept 2023 - Sept 2024
Collaborating closely with the Global CIO and Founder/Director of our company, primarily focusing on AI-driven initiatives, while also being mentored to enhance my skills and expertise in the field.
Mar 2023 - Jun 2023
Worked on developing and fine-tuning LLMs using LangChain, implementing a simple Q&A system over documents, optimizing its accuracy, and created an interface using Streamlit.
Currently working on the development an AI Search tool that allows for both navigation around the internally developed application and have detailed conversation with the user to provide with the most accurate results for their queries.
Developed a framework application using React and Flask that leverage LLM capabilities powered by the integration of various Open Source Tools and Systems.
Spearheaded the development of an intelligent chatbot using Rasa and Flask with integrated Speech-to-Text (STT) and file download features, significantly enhancing the work efficiency of our internal team. This reduced navigation time, data retrieval, and exportation processes to under a minute.
Led the coordination between management and development teams for different web applications tailored for internal staff. Oversaw client requirement gathering, workflow design, data management, and testing phases.
Issued by Amazon Web Services (AWS) - Dec 2024
Issued by Rasa - Aug 2024
Issued by IBM - Mar 2024
Issued by Deeplearning.ai - Feb 2024
Issued by Prepinsta - Dec 2023
Issued by Prepinsta - Oct 2023
Issued by Prepinsta - Aug 2023
Issued by Microsoft and LinkedIn - Jul 2023
Developed this site as documentation of my learning journey into GPT model implementation, inspired by Karpathy's Neural Networks: Zero to Hero series. It covers foundational concepts and advanced transformer-based architectures, serving as both a personal and shared knowledge base.
Built a neural network from scratch by developing a micrograd library, implementing core concepts like backpropagation and gradient descent following Andrej Karpathy’s methodology.
A hands-on exploration of character-level language models inspired by Andrej Karpathy's approach. This series includes developing foundational ML models, implementing Multilayer Perceptrons based on seminal research papers, and experimenting with advanced techniques like Backpropagation. The journey is ongoing, with deeper dives into language modeling and neural network concepts planned.
Developed a Portfolio site using Flask, HTML, CSS and JavaScript. Along with a functioning chatbot developed using RASA.
BTech - Computer Science
Grade: 9.32 CGPA
Achievements: Top 10 University Rank Holder in CSE Department, Director of Design at TEDxMVJCE, Vice President at Saahitya Literature Club
PUC - Physics, Chemistry, Math and Computer Science
Grade: 86.5%, Distinction
I.C.S.E - Science
Grade: 92.4%
Achievements: Top Rank Holder in Computer Applications.