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Aayush Bokde

@aayushbokde

Computer Science undergraduate building AI-powered LLM applications in Python, focused on scalable, optimized solutions.

India

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What I'm looking for

I’m looking to build AI-powered, LLM-driven products where I can design agentic workflows, ship robust Python services, and turn ideas into structured, measurable outcomes—while growing through real-world feedback and strong engineering practices.

I’m a Computer Science undergraduate with a firm understanding of Data Structures, OOP, and DBMS, and hands-on experience building AI-powered applications using Python and LLM frameworks. I’ve solved 150+ DSA problems, focusing on pattern-based problem solving and optimization.

I build real systems and agentic workflows—like an AI news aggregator that summarizes content with LLM workflows and delivers scheduled daily digests, and an agentic interview preparation platform that runs multi-round mock interviews and provides structured feedback. I also developed a GPT-like transformer model from scratch in PyTorch and published an AI-powered interview preparation system in the ETFI-2026 conference proceedings.

Experience

Work history, roles, and key accomplishments

Agentic AI for Interview Preparation

Des Pune University

Feb 2026 - Present (5 months)

Published a paper at ETFI-2026 at DES Pune University proposing an AI-powered interview preparation system with resume analysis, multi-turn mock interview simulations across HR/Technical/Project rounds, and personalized structured feedback. Co-authored with Shubham Dahane, Pranav Dhebe, and Pandharinath Maske under supervision of Dr. Anuradha Yenkikar and Prof. Pranjal Pandit.

Resume Analysis Mock Interviews Structured Feedback

Bootcamp in Artificial Intelligence

C-DAC Pune & FutureSkills Prime

Completed a bootcamp in Artificial Intelligence offered by C-DAC Pune and FutureSkills PRIME.

NLP and Deep Learning

Unstop

Completed a certification in NLP and Deep Learning.

Generative AI Foundations (AWS)

Amazon Web Services (AWS)

Completed the AWS Academy Generative AI Foundations certification.

GPT From Scratch (Transformer)

GitHub

Built a GPT-like language model from scratch using PyTorch, implementing a transformer architecture with multi-head self-attention, embeddings, feed-forward networks, and layer normalization. Developed an end-to-end training pipeline with backpropagation and cross-entropy loss, training on the Tiny Shakespeare dataset and generating Shakespeare-like outputs.

Python PyTorch Transformer Architecture Multi Head Attention Embeddings Feedforward Neural Network CUDA GPU Acceleration Backpropagation Cross Entropy Loss

Agentic AI for Interview Preparation

GitHub

Collaborated on an AI-driven agentic interview preparation platform that simulates HR, Technical, and Project rounds. Built resume parsing and LLM-based modules for personalized questions and feedback, using a multi-agent workflow with an “LLM as a Judge” system to evaluate responses.

Python LangGraph Supabase AI Resume Parsing LLM Based Interview Questions LLM As A Judge

AI Based News Aggregator

GitHub

Built an AI-powered news aggregation system that scrapes updates from YouTube channels and AI company blogs, storing structured data using Supabase. Created an LLM-based workflow to summarize transcripts/articles and deliver scheduled personalized daily digests with historical summaries and references.

Python LangGraph Supabase GROQ Resend

Education

Degrees, certifications, and relevant coursework

BRACT’s Vishwakarma Institute of Information Technology

Bachelor of Technology, Computer Science & Engineering (Artificial Intelligence)

2023 - 2027

Grade: CGPA 8.65/10.0

Activities and societies: Projects: AI news aggregator (LangChain/LangGraph, Supabase), agentic interview preparation (LangGraph, LLM-as-a-judge), and GPT-from-scratch (PyTorch); Published in ETFI-2026 proceedings.

Pursuing a Bachelor of Technology in Computer Science & Engineering (Artificial Intelligence) with coursework across Data Structures & Algorithms, DBMS, Machine Learning, Deep Learning, and Generative AI. Builds AI-powered applications using Python, LLM frameworks, and related tools.