Product Manager Intern — Tracelink, Pune Jun 2025 – Sep 2025

• Translating business needs into user stories and functional specs.
• Collaborating with engineering, UX, and QA on Opus supply chain platform.
• Conducting UX reviews and competitive analysis to support critical decisions.
• Assisting in sprint planning, bug triaging, and release coordination.

Research Intern — Symbiosis Centre for Applied AI, Pune Jan 2025 – May 2025

• Performing exploratory data analysis on primary healthcare datasets.

Junior Research Fellow — SIT, Pune Jun 2024 – Nov 2024

Project: Detection & Mass Screening of Obstructive Sleep Apnea (OSA)

• Designed a sensor-based sleep mask with real-time monitoring capabilities.
• Built a full-stack system for real-time data acquisition.
• Developed AI/ML models to detect abnormal breathing patterns with high accuracy.

Research Intern — Symbiosis Centre for Applied AI, Pune Nov 2023 – May 2025

Project: Multimodal Uncertainty-aware Paradigm for Object Detection using XAI

• Worked with University di Milano on ensemble techniques for multi-scale object detection.
• Modified YOLOv8 for IR and RGB image fusion and open-source contributions.
• Implemented explainability via Layer-wise Relevance Propagation (LRP).

Research Intern — Symbiosis Centre for Applied AI, Pune Nov 2023 – Jun 2024

Project: Explainable Computer Vision Framework for Drone Imagery

• Generated synthetic datasets (1600+ images) for scene understanding tasks.
• Developed and compared 10+ object detection models (YOLOv8-11, RT-DETR).
• Analyzed datasets using SSIM, PSNR, Entropy & Perceptual Loss metrics.

Business Challenge Analyst Intern — University of Auckland, NZ Jun 2023 – Aug 2023

• Led strategic analysis to solve operational problems for NZ-based firms.
• Collaborated across multicultural teams from India, Korea, and Japan.
• Delivered data-backed solutions with practical business impact.

Full Stack Development Intern — IEEE Bombay Section YP, Pune Dec 2022 – Mar 2023

• Built web apps using Svelte and Vite focused on speed and scalability.
• Handled backend integration and system architecture design.
• Created user-centric UI/UX using Figma to aid design efficiency.

AI & ML Intern — IBM & AICTE NEAT Dec 2022 – Mar 2023

• Developed an AI-powered mental fitness tracker with research-based insights.
• Completed specialized IBM courses:
  • Artificial Intelligence Fundamentals
  • Essentials of AI and Cloud
  • Artificial Intelligence in Practice

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Programming & Development

• Languages: Python, C, C++, JavaScript, SQL, Java, Dart, R
• Libraries & Frameworks: TensorFlow, PyTorch, Keras, YOLO, NumPy, Pandas, Matplotlib, Scikit-learn, React.js
• Full-Stack Development: Web & App Development using React.js, Dart, JavaScript

Tools & Platforms

• Development Environments: Jupyter Notebooks, Google Colab, VS Code, MATLAB, Hugging Face
• Version Control: Git
• Operating Systems: Windows, Linux

Cloud & DevOps

• Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS)
• CI/CD & Containerization: Jenkins, Docker, Kubernetes, Docker Hub

Language Proficiency

• Fluent: English, Nepali, Maithili, Hindi
• Basic: French, German

Specialized Domains

• Neural Networks & Deep Learning
• Computer Vision & Generative AI
• Full-Stack Development (App & Web)

B.Tech Project: Image Reconstruction by Decoding EEG Data Jan 2024 – Sep 2025

PI: Dr. Rahee Walambe | Team Size: 2

Objective: To reconstruct visual stimuli seen by a subject using only EEG data, leveraging Conditional GANs for image generation and Auto-Encoders for feature extraction on primary EEG data collected from real subjects.

• Built theoretical frameworks and AI models to analyze EEG signals, improving predictive capabilities.
• Designed Flask-based backend infrastructure for real-time communication and functionality.
• Achieved a 28% reduction in MSE, 122% increase in SSIM, and 54% improvement in PSNR through GAN integration.

DevOps Full-Stack Project: Automated Deployment & Monitoring Oct 2024

Team Size: 2

Objective: To design a full-stack Flask-based web application with MongoDB and DevOps features like CI/CD using Jenkins, Docker, Terraform, and ELK stack for deployment and monitoring.

• Co-led CI/CD pipeline design with rapid, automated deployments via Jenkins & Docker.
• Developed shopping-cart web app with user auth, product display, and real-time monitoring.
• Optimized deployment uptime to nearly 100% through strategic infrastructure planning.

Multimodal Uncertainty-Aware Object Detection using XAI Nov 2023 – May 2025

Team Size: 4

Objective: To improve object detection across modalities (RGB & IR) using explainable AI methods. Integrated DevOps best practices with automated deployment, performance monitoring, and uncertainty modeling.

• Equally contributed to infrastructure automation, model integration, and deployment strategies.
• Maintained high system uptime through CI/CD and real-time performance metrics using ELK.

Explainable Computer Vision for Drone Imagery Nov 2023 – Jun 2024

Team Size: 5

Objective: To generate synthetic datasets for disaster scenes using generative models (1600+ images), improving object detection models in data-scarce environments. Benchmarked models with real-world datasets using SSIM, PSNR, Entropy, and Perceptual Loss.

• Created synthetic datasets to address real-world data limitations in critical scenarios.
• Developed and evaluated 10+ object detection models (YOLOv8–YOLO11, RT-DETR).
• Performed deep comparative analysis between real and synthetic data using diverse metrics.

Publications

• Research Paper: "Urban Small-Scale Hydroponics: A Compact, Smart Home-Based Hydroponics System"
  MethodsX (Vol. 13) • Published: Oct 2024

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• Patent: "AI-Based Antenatal Risk Assessment & Clinical Decision Support System"
  Patent No: 202421067110 • Filed: Sep 2024

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• Patent: "IoT-Based Smart Bag System for Remote Monitoring and Tracking of Delivered Items"
  Patent No: 202421077664 A • Filed: Nov 2024

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• Journal Article: "Next-Gen Midwifery Support: AI-Enhanced App for Pregnancy Risk Assessment"
  Birth Journal (Wiley) • Published: Jul 2024

Submitted

• Dataset Paper: "SURGE: Synthetic Dataset for Disaster Surveillance and Rescue"
  Submitted to Journal of Big Data • Jan 2025

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• Neuro-AI Research: "From Neural Signals to Images: Generative Reconstruction from EEG"
  Preprint on SSRN (PsychRN Track) • Jan 2025

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• Journal Article: "Temporal Energy Consumption Forecasting and Analysis"
  MethodsX • Submitted: Nov 2024

Achievements

• 1st Place — PRIMATHON Hackathon 2023
  Led a team of 3 to build an AI/ML-powered Company Properties Allotment Tracker.
  Award: INR 1,00,000 (~$1200)

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• 3rd Place — IC Hack 2.0 (Healthcare Track), IEEE India Council
  Built "Med-Sync" — unified IoT-AI platform with visual analytics for healthcare.
  Prize: INR 5,000 (~$60) • Nov 2023

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• Grand Finalist — PRIMATHON 2.0 Hackathon 2024
  Selected for finals with AI-powered ATS Smart Matching Engine project.
  Hackathon Ongoing • Dec 2024

Certification Courses

• Cybersecurity Essentials – Cisco Networking Academy, May 2023
• Introduction to Cybersecurity – Cisco Networking Academy, May 2023
• Networking Essentials – Cisco Networking Academy, May 2023
• Agile Fundamentals (Scrum & Kanban) – Udemy, October 2022
• Intro to Operating Systems 2: Memory Management – Codio via Coursera, April 2023
• Distributed Systems – Mind Luster, April 2024
• Google Agile Project Management – Coursera, October 2022
• Linux and Data Analytics – VOIS, September 2022
• Artificial Intelligence & Machine Learning – Advanced – VOIS, September 2022
• Cloud Computing – Advanced – VOIS, September 2022
• Cyber Security – Advanced – VOIS, September 2022

Workshops & Participations

• AI & ML Hands-on Workshop – Successfully completed with qualifying marks at Symbiosis Institute of Technology, Pune (14–16 Sept 2022)
• Project Exhibition Participant – Organized by CSE Department & CodeX SIT, Symbiosis Institute of Technology, Pune, 21 April 2023