AI Software Engineer
I'm a software engineer who enjoys building applications and integrating AI/ML capabilities into them. I’ve started my career working in a startup environment and collaborated with experienced executives, which has given me a mix of hands-on development and exposure to high-level decision-making.
I’m always learning and currently diving deeper into neural networks, large language models (LLMs), and retrieval-augmented generation (RAG), while also starting to explore AI agents.
Potentiam Ltd
Sept 2024 - Present
Working directly with the executive leadership building projects that leverage ML capabilities to meet specific functional requirements and ensuring smooth integration of LLMs into 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.
Wipro Ltd
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.
Building Generative AI Applications Using Amazon BedrockIssued by Amazon Web Services (AWS) - Dec 2024
Rasa Developer CertificationIssued by Rasa - Aug 2024
Developing AI Applications with Python and FlaskIssued by IBM - Mar 2024
Generative AI with Large Language ModelsIssued by Deeplearning.ai - Feb 2024
Data Science NanodegreeIssued by Prepinsta - Dec 2023
Python NanodegreeIssued by Prepinsta - Oct 2023
Machine Learning NanodegreeIssued by Prepinsta - Aug 2023
Career Essentials in Generative AIIssued by Microsoft and LinkedIn - Jul 2023
Road to AIDeveloped this site as documentation of my learning journey in building Neural Networks and GPT models. It covers foundational concepts and advanced transformer-based architectures, serving as both a personal and shared knowledge base.
GPT Transformer Model-2Building GPT-2 from Scratch: An end-to-end PyTorch implementation of a GPT-2 style language model (124M) released by OpenAI and inspired by Karpathy’s NanoGPT. Covers core components like tokenization, multi-head self-attention, transformer blocks, and positional embeddings. Implements key ML concepts such as causal masking, autoregressive modeling, and trains on real-world text for generation.
GPT Transformer Model-1Building GPT from Scratch: A step-by-step implementation of a GPT-style language model, inspired by Andrej Karpathy’s lecture. The project covers language modeling fundamentals, self-attention mechanisms, and transformer architectures. It starts with a simple bigram model and builds up to a multi-headed self-attention transformer.
Neural Networks - Language ModelsA hands-on exploration of character-level language models inspired by Karpathy's approach. This series covers the development of foundational ML models, the implementation of Multilayer Perceptrons based on seminal research papers, and experimentation with advanced techniques such as backpropagation, language modeling, and neural network concepts.
Neural Networks - MicrogradBuilt a neural network from scratch by developing a micrograd library, implementing core concepts like backpropagation and gradient descent following Andrej Karpathy’s methodology.
Portfolio website with ChatbotDeveloped 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.