Machine Learning Enthusiast | Deep Learning | NLP | Computer Vision | Generative AI | Python
I am a B.Tech student in Computer Science and Engineering (CSE) with a specialization in Machine Learning. While ML is my domain, I enjoy working on diverse problem-solving challenges in computing. My projects include suicide rate analysis, text generation, and text summarization, where I have applied techniques like Markov models, LSTMs, and deep learning. Beyond ML, I am keen on exploring broader areas in computer science, including software development, UI/UX, and data-driven solutions. I am open to learning, collaborating, and building innovative solutions.
B.tech, Computer Science and Engineering
Sep 2022 - Jul 2026
CGPA: 6.61
Intermediate, M.P.C
May 2020 - Jun 2022
12
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10th
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SSC
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Intermediate, MPC
Apr 2020 – Mar 2022
Percentage: 80.7%
Fine-tuned Microsoft TrOCR on 2,500 IAM handwriting samples, achieving CER below 7% and WER below 15%. Resolved an RGB/grayscale channel mismatch bug, trained a 1.3GB model on Colab GPU, hosted it on Hugging Face via Git LFS, and deployed a FastAPI and Gradio inference pipeline on Hugging Face Spaces.
Fine-tuned BART-large-CNN on 3,000 DialogSum samples and integrated FAISS retrieval. Engineered a Writer-Critic multi-agent pipeline using flan-t5 models for iterative answer refinement, then deployed PDF upload, question answering, and meeting summarization on Hugging Face Spaces via Gradio.
Architected a LangChain-orchestrated Writer and Critic multi-agent RAG system with FAISS semantic search for document-grounded question answering. Deployed an interactive Gradio application on Hugging Face Spaces supporting multi-document ingestion and context-aware answers.