AI Systems Engineer | Quantum Computing Researcher | Full-Stack Developer

I build intelligent systems at the intersection of quantum computing, AI, and systems engineering. Currently focused on LLM optimization, quantum algorithms, and real-world applications across aerospace, automotive, and defense sectors.

• 🎓 AI Associate's Degree (Dropout) – IIT Ropar
• 🏆 1st Place BB84 Algorithm Winner – ISAQC Qiskit Fall Fest 2025 (IBM Quantum + IIIT-Hyderabad)
• 🚗 Ford Motor Company – EV Engineering & Battery Management Systems Intern
• ✈️ GE Aerospace – Propulsion System Analysis & Optimization Intern
• 🛡️ DRDO – Defense Technology & Precision Engineering Intern
• 🌟 GSSoC 2025 Mentor & Contributor – Open Source Leadership

• Quantum Computing – BB84 quantum key distribution, Qiskit implementations, quantum algorithms
• LLM Fine-tuning – Published 4 AI datasets on HuggingFace (1k+ downloads)
• EV Technology – Battery chemistry optimization, PID controllers, thermal management
• Full-Stack Development – SaaS solutions, cloud architecture, scalable systems
• Open Source – Active contributor, technical mentoring, community building

AI & Machine Learning

• Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, Computer Vision, LLM Fine-tuning

Quantum Computing

• Qiskit, BB84 Protocol, Quantum Circuits, IBM Quantum, Algorithm Design

Full-Stack Development

• JavaScript, React, Node.js, MongoDB, MySQL, REST APIs, Tailwind CSS

Engineering & CAD

• SOLIDWORKS, MATLAB, AutoCAD, Blender, 3D Modeling

Data & Analytics

• Pandas, NumPy, Scikit-learn, SQL, Data Visualization, Statistical Analysis

BB84 Algorithm Winner – ISAQC Qiskit Fall Fest 2025

• 1st Place prize
• Hosted by IBM Quantum & IIIT-Hyderabad
• Advanced quantum cryptography implementation and optimization

Published on HuggingFace

• Educational Flashcards for Global Learners
• Task Reminders for Education & Professionals
• Multidisciplinary Educational Summaries
• Structured Todo Lists for Learning
• 10k+ downloads from research community

• Battery chemistry performance analysis
• PID controller optimization for thermal management
• Advanced EV system integration solutions
• Enhanced electric vehicle efficiency

• Next-generation propulsion system analysis
• Bypass ratio and compression system optimization
• Alternative energy source research
• R&D team technical presentations

• CAD design for precision engineering applications
• CNC manufacturing optimization
• High-stakes systems integration
• Defense technology innovation

AI Systems Architect (2024 – Present)

• Leading enterprise AI solutions and LLM optimization pipelines
• Mentoring open-source projects and industry collaborations
• Quantum computing application development

AI Associate's Degree – IIT Ropar (2024)

• Advanced AI systems architecture, neural networks, and machine learning
• Specialized in LLM fine-tuning and computer vision

Automotive AI Engineer – Ford Motor Company (2022 – 2024)

• Developed battery management systems for electric vehicles
• Optimized PID controllers and thermal management algorithms
• Cross-functional EV platform integration

Aerospace Systems Engineer – GE Aerospace (2021 – 2023)

• Analyzed next-generation propulsion systems
• Conducted performance optimization studies
• Presented research to senior engineering leadership

Defense Technology Specialist – DRDO (2020 – 2022)

• Precision engineering design using SOLIDWORKS and CAD
• CNC manufacturing process optimization
• Critical defense system integration projects

Quantum Key Distribution (BB84)

• Championship-winning implementation using Qiskit
• ISAQC Qiskit Fall Fest 2025 Winner
• View on GitHub

LLM Fine-tuning Datasets

• 4 high-quality datasets published on HuggingFace
• Educational resources for global research community
• View on HuggingFace

EV Battery Management System

• Advanced battery chemistry analysis
• PID controller optimization for thermal management
• Performance improvements across multiple driving cycles
• View Portfolio

Open Source Contributions

• GSSoC 2025 Mentor
• Multiple active projects on GitHub
• Technical community leadership
• View GitHub

• Medium – Technical deep dives in AI, quantum computing, and engineering

  • Read Articles

• HuggingFace – Published AI datasets and models

  • View Profile

• Patreon – Exclusive content, tutorials, and Q&A sessions

  • Join Community

• Email – srinivasvarma764@gmail.com
• LinkedIn – Srinivas Nampalli
• GitHub – @Srinivas26k
• HuggingFace – Srinivasmec26
• Medium – @srinivasvarma764
• Portfolio – srinivas26k.github.io
• Patreon – TechWithSrinivas

I'm open to opportunities in AI systems engineering, quantum computing, automotive innovation, and full-stack development. Whether you're looking for consulting, collaboration, or technical expertise—let's build something extraordinary.

Feel free to reach out at srinivasvarma764@gmail.com

Last updated: October 2025