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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 (6 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.

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

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

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.