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AI Engineer with less than a year in AI/ML & Generative AI
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Assessing your cultural and operational fit
Highly motivated student pursuing a B.Tech in Computer Science and Engineering (Artificial Intelligence) with a strong foundation in AI/ML, deep learning, and generative AI. Proven ability to develop multi-agent AI platforms, documentation generators, and replicate complex models like Vision Transformers. Seeking challenging roles to apply expertise in Python, FastAPI, PyTorch, and large language models (LLMs) to real-world problems.
BRACT's Vishwakarma Institute of Information Technology
B.Tech · Computer Science and Engineering (Artificial Intelligence)
August 1, 2023 – June 30, 2027
Yashwantrao Chavan Secondary & Higher Secondary School
HSC
N/A – May 31, 2021
Yashwantrao Chavan Secondary & Higher Secondary School
SSC
N/A – May 31, 2019
IoT Forum, VIIT
Publicity Member
September 1, 2024 – January 1, 2025
India
AI-Powered Codebase to Design Document Synthesizer
June 1, 2026 – Present
Built an AI-powered documentation generator that converts any GitHub repository into a professional MkDocs Material documentation site (module docs, architecture pages, API reference) in minutes. Developed a FastAPI backend with asynchronous job handling and REST endpoints for generate/status/preview/download, plus a lightweight Next.js frontend dashboard for paste-and-generate workflow. Implemented an end-to-end documentation generation pipeline with Git repository cloning, intelligent file filtering, Python AST-based code parsing, LLM-powered Markdown generation using Groq LLaMA API, and automated MkDocs site export.
View ProjectInterViewPrep-Agentic-AI
June 1, 2026 – Present
Developed a multi-agent AI interview platform using LangGraph and LLMs to simulate real-world HR, Technical, and Project rounds with adaptive follow-up questions and contextual interview flow. Implemented LLM-based resume parsing and zero-shot/few-shot prompting for personalized dynamic interview generation. Built an automated AI evaluation system providing performance scores, feedback, and reasoning-based recommendations.
View ProjectVision Transformer (ViT) Replication in PyTorch
June 1, 2026 – Present
Implemented a Vision Transformer (ViT) from scratch in PyTorch with patch embedding, positional encoding, multi-head self-attention, and encoder layers; achieved 99.21% training and 91.76% test accuracy on a food dataset. Applied transfer learning using pretrained ViT-B/16 (torchvision) by freezing backbone layers and fine-tuning a custom classification head. Developed a complete deep learning workflow covering data preprocessing, training loops, evaluation, loss visualization, and model checkpointing.
View ProjectAWS Academy Graduate – Generative AI Foundations - Training Badge
AWS Academy
June 1, 2026 – Present
Solved 350+ coding problems on LeetCode
LeetCode
June 1, 2026 – Present
Basic Certification Course in Artificial Intelligence
CDAC
June 1, 2026 – Present
NLP and Deep Learning
Unstop
June 1, 2026 – Present
The Complete 2024 Web Development Bootcamp
Udemy
June 1, 2026 – Present
IEEE-published research paper “Agentic AI for Interview Preparation” – ETFI 2026 International Conference, Pune
IEEE
January 1, 2026 – Present
Smart India Hackathon 2025 – Internal Rounds
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with an AI Engineer role, focusing on cutting-edge AI technologies like LLMs, agentic AI, and deep learning. The diversity of projects (interview platform, documentation generator, vision transformer) shows a broad interest within AI. Participation in hackathons and volunteer work suggests a proactive and engaged individual, which generally aligns well with dynamic tech environments. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems. The volunteer experience suggests some capacity for teamwork and coordination, though specific soft skills like problem-solving under pressure or advanced communication are not explicitly detailed. The academic nature of projects implies a structured approach to problem-solving.