Naman Mishra

B.Tech CS (AI) Student

411048, Pune, IN.

About

Highly accomplished B.Tech CS (AI) student specializing in Deep Learning, Agentic AI, and real-time ML systems, actively seeking SWE, AI/ML, and full-stack internship roles. Proven ability to develop production-oriented AI applications, including generative audio, autonomous web automation, and medical AI, recognized by accepted AI research and a hackathon win. Leverages strong technical skills and innovative project experience to deliver impactful solutions and contribute to cutting-edge technology.

Work

Office of International Relations, VIIT Pune

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Exam & Management Head

Pune, Maharashtra, India

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Summary

Directed international education initiatives and student exchange programs, enhancing global engagement and institutional visibility for VIIT Pune.

Highlights

Orchestrated and successfully hosted multiple international education events, significantly increasing institutional visibility and fostering global partnerships.

Managed comprehensive student exchange programs, facilitating cross-cultural learning opportunities for a diverse student body.

Cultivated and maintained strong relationships with foreign university representatives, expanding VIIT Pune's international collaborative network.

Education

Vishwakarma Institute of Information Technology

Pune, Maharashtra, India
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B.Tech Computer Science & Engineering (Artificial Intelligence)

Courses

DSA

Design & Analysis of Algorithms

Machine Learning

Deep Learning

OS

DBMS

Computer Networks

OOP

Awards

Zetachain Vibe Coding Hackathon Winner

Zetachain

Awarded USD 100 prize for developing a cross-chain rewards DApp on Zetachain, demonstrating expertise in blockchain and decentralized application development.

VIIT Internal Hackathon Runner-up

VIIT

Secured Rs. 6,000 prize as runner-up in the VIIT Internal Hackathon, showcasing strong problem-solving and technical implementation skills.

IIT Bombay Techfest Quantitative Challenge Finalist

IIT Bombay

Recognized as a finalist in the IIT Bombay Techfest Quantitative Challenge, highlighting strong analytical and quantitative reasoning abilities.

Smart India Hackathon (Internal Round) - Top 17%

Smart India Hackathon

Ranked among the top 17% of 300+ teams for an AI-driven public-sector solution, demonstrating innovation and impact in national-level competitions.

Government of India Copyright: "Data Analytics Framework: Relative Analysis on Global Factors"

Government of India

Secured copyright for an original data analytics framework, showcasing research and intellectual property development capabilities.

Languages

English

Certificates

Google Cloud Fundamentals

Google

AWS Cloud Practitioner Essentials

Amazon Web Services (AWS)

Cisco CCNA Intro to Networks

Cisco

Skills

Languages

Python, C++, JavaScript, TypeScript, SQL, Bash/Shell.

ML / AI

PyTorch, TensorFlow, scikit-learn, OpenCV, torchaudio, librosa, Hugging Face, LangChain, FAISS, NumPy, Pandas.

Web / Backend

React, Next.js, Tailwind CSS, Node.js, Express.js, FastAPI, Streamlit, REST APIs, WebSockets.

DevOps / Cloud

MongoDB, MySQL, PostgreSQL, Docker, Google Cloud, Git, Selenium, n8n.

Projects

AarogyaAI - Privacy-First Medical AI with LLM Council & Federated Learning

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Summary

Developed a privacy-first medical AI system utilizing an LLM Council and Federated Learning for enhanced clinical reasoning and data privacy.

Industry Offered Project - AI Automation (Accelera)

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Summary

Designed AI-driven automation solutions for pharmacy supply chain workflows, including an offline-first bill parsing system.

Neuro-Sound AI - Personalized Music Generation using Deep Learning

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Summary

Created an EEG-inspired deep learning model for personalized therapeutic audio generation for focus and sleep, deployed with a real-time interface.

ZRewards - Cross-Chain Loyalty Rewards Platform [Hackathon Winner]

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Summary

Developed a cross-chain loyalty rewards DApp on Zetachain, enabling seamless issuance and redemption across blockchain networks.

Autonomous AI Browsing Agent for E-Commerce

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Summary

Automated multi-step web research and purchase workflows for e-commerce using AI, NLU, and browser automation.