MUKUL PRASAD

🤖 AI · ML · Full Stack · Multi-Agent Systems
mukul@hacker-lab:~$
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Mukul Prasad - ML Intern @ FlyRank | CS Sophomore @ MSRIT
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GSSoC'26 Mentor | Research Intern @ IEEE CS | AI & ML Engineer
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Building intelligent systems and beyond... 🚀
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About Me

🧠 AI & ML Engineer

I am a passionate CS Sophomore specializing in AI/ML at Ramaiah Institute of Technology. I'm currently working as an ML Intern at FlyRank and a Research Intern at IEEE Computer Society, building advanced AI pipelines and drug repurposing models.

🌟 Open Source & Leadership

Selected as a Mentor for GSSoC'26 from among 135 mentors globally. I actively lead technical communities with over 3.5K+ active members across MSRIT'28 & '29 and serve as a Founding Core Member of the AWS Cloud Club.

🚀 Innovation Driven

I constantly seek opportunities to push the boundaries of intelligent systems, actively competing on Kaggle (Top 150 globally) and winning multiple national-level hackathons like GenAI Fusion'25 and HackArena 2.0.

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Contributions
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Projects Built
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Technologies
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Dedication to Craft

Work Experience

Work Experience

🧠

ML Intern

FlyRank AI | July 2026 – Present
  • Spearheading advanced machine learning research and AI-driven product features.
  • Designed and evaluated multiple state-of-the-art LLM pipelines.
  • Accelerated experimentation workflows using Python, PyTorch, and Scikit-learn, achieving 30% faster model iterations.
PyTorch LLMs Scikit-learn
🌟

Open Source Mentor

GSSoC'26 | Jun 2026 – Present
  • Selected among 135 mentors nationally for GirlScript Summer of Code '26.
  • Personally mentored 15+ early-career contributors, fostering open-source development.
  • Conducted comprehensive code reviews for over 20+ pull requests, enforcing best practices in Python, JavaScript, and REST APIs.
Mentorship Python REST API
🧬

Research Intern, AI/ML Drug Repurposing

IEEE Computer Society | Feb 2026 – Present
  • Developing a cutting-edge AI drug repurposing pipeline to accelerate medical discoveries.
  • Engineered complex biomedical knowledge graphs representing 14K+ drugs and 20K+ diseases.
  • Leveraged PyTorch Geometric and RDKit to apply Graph Neural Networks (GNNs) for predictive drug efficacy modeling.
PyTorch Geometric RDKit Knowledge Graphs

🏆 Achievements & Competitions

🥇

Kaggle Competitions

  • Top 1.4% (150/10,760) in the global Wellbore Geology Prediction Challenge.
  • Placed Top 25/348 in Formula 1 Race Result Classification by engineering complex temporal predictive features.
🚀

Hackathon Wins

  • 1st Runner-up at GenAI Fusion'25 for an innovative multi-agent AI solution.
  • Zonal Champion at HackArena 2.0 (IIIT Delhi).
  • Top 1% (10/1,000) at BIT MESRA Hack'24.
🌟

Leadership Impact

  • Spearheading technical growth for MSRIT'28 & '29 communities with 3.5K+ active members.
  • Founding Core Member of the AWS Cloud Club, organizing cloud architecture workshops.
  • Elected Webmaster for IEEE CIS, managing digital presence and technical outreach.

🚀 Technical Expertise

🧠

🧠 AI/ML Development

🤖
AI Solutions

Creating intelligent systems for Syncity and HealthCare Dashboard

📊
Machine Learning

Implementing advanced models and data pipelines

🧠
Neural Networks

Deep learning architectures and model optimization

☁️

☁️ Cloud Computing

☁️
AWS Services

Working with cloud infrastructure and services

⚡
Scalability

Building high-performance cloud applications

🔧
DevOps

CI/CD pipelines and infrastructure automation

💻

💻 Full Stack Development

🌐
Web Development

Building modern web applications with latest technologies

📱
UI/UX Design

Crafting responsive and user-friendly interfaces

🚀
Performance

Optimizing applications for speed and efficiency

🔧

🔧 Data Structures & Algorithms

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Algorithm Analysis

Mastering time and space complexity analysis

🔄
Data Structures

Implementing and optimizing data structures

🎯
Problem Solving

Solving complex problems with efficient algorithms

🛡️

🛡️ Ethical Hacking

🔒
Penetration Testing

Identifying and exploiting security vulnerabilities

🎯
Network Security

Securing networks and systems from threats

🔍
Cybersecurity

Implementing security best practices and protocols

Skills & Technologies

Programming & Web
Python C++ Java TypeScript Node.js React REST APIs
AI/ML Stack
PyTorch TensorFlow Hugging Face LangChain / LangGraph RAG Pipelines Multi-Agent Systems Scikit-learn
Cloud & MLOps
AWS (Lambda, S3, EC2) AWS SageMaker Docker CI/CD Git / GitHub Model Deployment
Databases
PostgreSQL MongoDB Redis Supabase Graph DB (Neo4j) Hive / HBase

Projects

Get In Touch