Available for Opportunities

Akshaj Tiwari

Building intelligent systems at the intersection of deep learning, computer vision, and quantum algorithms. Passionate about solving complex problems with elegant, scalable solutions.

Top 25
National Finalist
6+
Production Models
2
Leadership Roles
5
Languages Supported

Experience & Leadership

Leading teams and building innovative AI solutions at national-level competitions

Team Lead

Smart India Hackathon (SIH)
August 2025 – September 2025
  • Led a cross-functional team of 6 developers through India's largest national hackathon, managing technical architecture and project coordination
  • Secured placement among top 25 teams nationwide from thousands of participating institutions
  • Delivered production-ready prototype under 36-hour constraints through agile methodologies and strategic task delegation
  • Orchestrated seamless integration across frontend, backend, and ML components with robust problem-solving strategies

Core Team Member

NCIIPC AI Grand Challenge
September 2025 – October 2025
  • Developed advanced AI layout detection system addressing national cybersecurity infrastructure challenges
  • Engineered comprehensive data pipelines with preprocessing automation and augmentation strategies
  • Implemented performance optimization through hyperparameter tuning, transfer learning, and ensemble methods
  • Applied state-of-the-art architectures (YOLO, Mask R-CNN) for superior accuracy while maintaining efficiency

Featured Projects

Innovative solutions combining AI, quantum computing, and practical applications

Quantum Circuit Simulator

View Source November 2024

Web-based quantum computing platform with React frontend and Flask backend. Integrates IBM Quantum, IonQ, and Rigetti QPUs with intelligent fallback mechanisms. Features custom gate creation, circuit versioning, and real-time analytics with enterprise security.

React Flask Qiskit Cirq PennyLane

Diabetic Retinopathy Detection

View Source August 2025

Production-grade deep learning classifier for multi-class diabetic retinopathy severity assessment. Designed scalable ETL pipelines with advanced preprocessing, data augmentation, and distributed training. Achieved clinically relevant metrics with comprehensive documentation.

PyTorch Computer Vision Transfer Learning Medical AI

Multilingual Conversational AI

View Source August 2025

Intelligent chatbot supporting 5 regional Indian languages with dynamic I/O capabilities. Implemented RAG architecture with vector databases for semantic search. Features real-time translation, language detection, and optimized inference for sub-second responses.

NLP RAG Transformers LangChain

Skills & Technologies

Comprehensive toolkit spanning programming, AI/ML frameworks, and modern development

Programming Languages

Python C C++ JavaScript HTML/CSS

AI/ML Frameworks

PyTorch TensorFlow Keras scikit-learn OpenCV Pandas NumPy

Tools & Platforms

Git/GitHub Jupyter Linux MongoDB Docker

Professional Skills

Technical Leadership Agile Management Problem Solving Collaboration

Academic Background

Bachelor of Technology in Computer Science

Pranveer Singh Institute of Technology
Expected Graduation: 2028 • Kanpur, India

Rigorous curriculum in AI, machine learning, algorithms, data structures, and software engineering. Active in competitive programming and research initiatives.

Certifications

Machine Learning Specialization
DeepLearning.AI (Coursera) — Andrew Ng
Deep Learning Specialization
DeepLearning.AI (Coursera) — In Progress
Full-Stack Web Development
Coursera
100 Days of Python
Udemy