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Education

• M.Tech. in Data Science and Artificial Intelligence, IIT Madras, 2025 – Ongoing
  • Department of Data Science and AI
  • Full scholarship (tuition waiver + stipend) from the Global Engagement Office, worth INR ₹21,00,000 (~$23,667)
• B.Tech. in Information Technology — Business Informatics, IIIT Allahabad, 2021 – 2025
  • CGPA: 8.15 / 10

Experience

• AI Architect Intern, Deep Intelligence — Sydney, Australia (Part-time), May 2025 – Ongoing
  • Designing and implementing agentic AI systems for autonomous task execution
  • Managing model training and deployment pipelines on AWS SageMaker and EC2
• Quantitative Machine Learning Intern, Finstrats Research — Bengaluru, India (Hybrid), Dec 2024 – May 2025
  • Built a RAG-LLM approach for extracting sentiment data from PDFs
  • Developed quantitative strategies integrating sentiment data and volatility metrics
• UG Student Fellowship, C3iHub, IIT Kanpur — Kanpur, India, Nov 2023 – Dec 2024
  • Conducted packet inspection using BT-HCI protocols and Pyshark
  • Created Python scripts for secure Bluetooth communication auditing
  • Submitted a journal paper on a Bluetooth Low Energy security-auditing framework
• Data Science Intern, Maker’s Lab, Tech Mahindra — Pune, India (Hybrid), June 2024 – Aug 2024
  • Worked on diffusion models for unpaired image-to-image translation
  • Studied explainability in AI models (transparency and auditability)
  • Contributed to LLM Project INDUS: data collection and translation

Selected Project

• Human-Following Bot (Indian Army) — Ladakh, India, Sept 2023 – May 2024
  • GAN-based data augmentation and feature preservation for rainy, night-time vision
  • Implemented a synthetic rain generator (RainGAN) and CycleGAN
  • Achieved an FID score of 31.4

Technical Skills

• Languages: Python, R, C++
• Libraries & Tools: PyTorch, TensorFlow, Keras, Pyshark, Wireshark, Git, GitHub
• Concepts: Machine Learning, Deep Learning, GANs, Cybersecurity

Relevant Coursework

• Probability & Statistics, Multivariate Calculus, Data Structures, Machine Learning, AI, Image & Video Processing, Big Data Analytics, Cybersecurity, Distributed Computing

Publications

RainGAN-Kathmandu: A Generative Adversarial Framework for Synthetic Rainfall Augmentation in Urban Road Scene Datasets

N. K. Shah, J. Gadde, N. Singh, C. P. Maurya, and S. K. Singh. (2025). "RainGAN-Kathmandu: A Generative Adversarial Framework for Synthetic Rainfall Augmentation in Urban Road Scene Datasets." IEEE TENCON 2025, Malaysia.

Kathmandu Road Dataset: Ratnapark to Tripureshwor

N. K. Shah, J. Gadde, A. Bidhan, K. Gullapalli, C. P. Maurya, and N. Singh. (2025). "Kathmandu Road Dataset: Ratnapark to Tripureshwor." Harvard Dataverse. https://doi.org/10.7910/DVN/38E8AG

A Novel Adaptation of the UNIT Framework for Cross-Domain Climate Data Translation with Enhanced Feature Preservation

N. K. Shah et al. (2025). "A Novel Adaptation of the UNIT Framework for Cross-Domain Climate Data Translation with Enhanced Feature Preservation." 12th Int. Conf. on Signal Processing and Integrated Networks (SPIN 2025). Springer.

Integrating FinBERT Sentiment with Financial Stress for Optimized Portfolio Performance

S. Pandey, R. Singh, N. K. Shah, and A. Bidhan. (2025). "Integrating FinBERT Sentiment with Financial Stress for Optimized Portfolio Performance." Academy of Marketing Studies Journal.

An Efficient ADAS Framework for Cross-Domain Image Translation and Feature Preservation Utilizing CycleGAN

A. Bidhan, N. K. Shah, R. Kumar, V. Gupta, and S. Prakash. (2025). "An Efficient ADAS Framework for Cross-Domain Image Translation and Feature Preservation Utilizing CycleGAN." 15th Int. Conf. on Cloud Computing, Data Science & Engineering (CONFLUENCE 2025), Noida, India. Springer Lecture Notes in Electrical Engineering.

A Comprehensive Bluetooth Security Audit Framework for IoT Devices

K. Leelasankar, N. Aslam, A. Vemuri, J. Gadde, U. S. Lavu, N. K. Shah, and S. Venkatesan. (2025). "A Comprehensive Bluetooth Security Audit Framework for IoT Devices." Submitted to Computers & Security (Elsevier), Q1, SCI. [Under Review].

Achievements

• Merit-cum-Means Scholarship, IIIT-A — Top 3% of batch (5th/6th semester)
• NewGenIEDC-IIITA Funded Project — Human-Following Bot selected by the Indian Army
• 1st Position, Electrocombat 2022 — Robotics contest under Tesla, IIITA
• MILSET Expo Sciences 2021 — Represented Nepal at ESI Asia, Dubai

Leadership & Volunteering

• Coordinator, SourceWave Wing, GDSC IIITA — Sept 2023 – May 2024
• Coordinator, Robotics Wing, Tesla Society IIITA — May 2023 – April 2024
• Head, Media Department, Aparoksha TechFest IIITA — Mar 2024 – Apr 2024

References

• Dr. Navjot Singh — Associate Professor, IIIT Allahabad · [email protected] · Supervisor, Major Thesis
• Dr. Surya Prakash — Asst. Professor, IIIT Allahabad · [email protected] · Supervisor, Human-Following Bot
• Prof. Ranjit Singh — Dept. of Management Studies, IIIT Allahabad · [email protected] · Co-author, FinBERT portfolio paper