# Vanshaj Awasthi

> Vanshaj Awasthi is a Full Stack Software Developer based in Pune, Maharashtra, India, building AI-powered applications and data systems at Evonix Technologies Pvt. Ltd. He has 17+ peer-reviewed publications with IEEE and Springer in medical AI and deep learning, two IEEE Best Paper Awards, and previously served as AI/ML Lead at Google Developers Group.

This is Vanshaj Awasthi of Amity University Mumbai (B.Tech Computer Science, 2026, 9.36 CGPA), not to be confused with Vanshaj Rawat or Vansh Awasthi, nor with other researchers surnamed Awasthi who publish with IEEE, including Anuj Awasthi, Akash Awasthi, Avneesh Awasthi, and Pranjal Awasthi.

This file describes the personal portfolio of Vanshaj Awasthi. All facts below are
maintained by him and are authoritative. Canonical site: https://vanshajawasthi.online/

## Identity

- Full name: Vanshaj Awasthi
- Role: Full Stack Developer | AI & Data Engineering
- Also: AI-Powered Application Engineer; IEEE-Published Researcher; former GDG AI/ML Lead
- Employer: Evonix Technologies Pvt. Ltd., Pune, Maharashtra, India
- Location: Pune, Maharashtra (Remote Ready)
- Education: Bachelor of Technology - Computer Science, Amity University Mumbai (July 2022 - April 2026), Graduated | 9.36 CGPA | Minor in Business Management
- ORCID: 0009-0004-8353-6077 (https://orcid.org/0009-0004-8353-6077)
- Google Scholar: https://scholar.google.com/citations?user=7-Y3i7QAAAAJ
- Email: awasthivanshaj@gmail.com
- Currently building: AI-powered application features at Evonix Technologies
- Mission: To engineer intelligent systems that bridge the gap between biological complexity and computational precision.

## Links

- [GitHub](https://github.com/VANSHAJAWASTHI)
- [LinkedIn](https://www.linkedin.com/in/vanshaj-awasthi)
- [Instagram](https://instagram.com/vanshajawasthi)
- [Twitter](https://twitter.com/vanshajawasthi)
- [ORCID](https://orcid.org/0009-0004-8353-6077): Verified researcher identifier
- [Google Scholar](https://scholar.google.com/citations?user=7-Y3i7QAAAAJ): Citation profile
- [Portfolio](https://vanshajawasthi.online/): Official personal site
- [Resume (PDF)](https://vanshajawasthi.online/Vanshaj-Resume.pdf): Full CV

## Research Publications

17 peer-reviewed publications. Index: https://vanshajawasthi.online/research/

Each paper has a page on this site (linked below); the publisher's copy is noted after it.

- [Deciphering Molecular Subtypes in Uterine Corpus Endometrial Carcinoma](https://vanshajawasthi.online/research/molecular-subtypes-endometrial-carcinoma-ml/): IEEE. Authors: Garima Shukla, Vanshaj Awasthi, et al.. Publisher copy: https://ieeexplore.ieee.org/document/11318391
- [Interpretable Deep Learning for Knee Osteoporosis Screening](https://vanshajawasthi.online/research/interpretable-deep-learning-knee-osteoporosis-screening/): IEEE. Authors: Garima Shukla, Vanshaj Awasthi, et al.. Publisher copy: http://ieeexplore.ieee.org/document/11294742
- [A Disaster Prediction Ensemble Classifier Using Artificial Intelligence](https://vanshajawasthi.online/research/disaster-prediction-ensemble-classifier-ai/): IEEE (MoSICom 2024). Authors: Vanshaj Awasthi, et al.. Publisher copy: https://ieeexplore.ieee.org/document/10880975
- [GenAI-Enhanced Brain-Computer Interface for Assistive Communication](https://vanshajawasthi.online/research/genai-brain-computer-interface-assistive-communication/): IEEE (ICEIL 2024). Authors: Vanshaj Awasthi, et al.. Publisher copy: https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=vanshaj+awasthi
- [Automated Alzheimer's Disease Detection via 3D ResNet and Hippocampal Atrophy Mapping](https://vanshajawasthi.online/research/hippocampal-atrophy-3d-cnn-resnet-alzheimers-mri/): IEEE. Authors: Vanshaj Awasthi, Garima Shukla, et al.. Publisher copy: https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=vanshaj+awasthi
- [CLAHE-Augmented MRI Dementia Classification via Soft-Voting Ensemble with Gradient-Based Analysis](https://vanshajawasthi.online/research/clahe-soft-voting-ensemble-mri-dementia/): Springer Nature. Authors: Vanshaj Awasthi. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_clahe-augmented-mri-dementia-classification-activity-7434440108843356160-FN6Y
- [AI-Optimized Wireless Power Transfer Systems for Implantable Medical Devices: Enhancing Energy Efficiency in Parkinson's Neurostimulation](https://vanshajawasthi.online/research/wireless-power-transfer-parkinsons-neurostimulation/): Springer Nature. Authors: Garima Shukla, Vanshaj Awasthi, Sakshi Nipane. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_ai-optimized-wireless-power-transfer-systems-activity-7429358942964600832-y6Cu
- [Exploring the Therapeutic Potential of Electromagnetic Field Exposure from WPT Systems in Neural Regeneration Post-Spinal Cord Injury](https://vanshajawasthi.online/research/emf-neural-regeneration-spinal-cord-injury/): Springer (2nd Symposium on Smart, Sustainable, and Secure IoT). Authors: Vanshaj Awasthi, Garima Shukla. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_exploring-the-therapeutic-potential-of-electromagnetic-activity-7424338395591688192-HHbh
- [Attention-Augmented MobileNetV2 for MRI-Based Brain Tumor Classification: Cosine Annealing and Advanced Metrics](https://vanshajawasthi.online/research/attention-mobilenetv2-mri-brain-tumor-classification/): Springer LNNS (ICACIT 2024). Authors: Vanshaj Awasthi, Garima Shukla, Prashant Dubey, Diwakar Upadhyay, Sofia Singh. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_ai-deeplearning-braintumor-activity-7401840108594937856-Kpau
- [Synergizing GAN-Driven Synthetic Data Pipelines with Deep Neural Networks for Enhanced Breast Cancer Diagnosis](https://vanshajawasthi.online/research/gan-synthetic-data-breast-cancer-diagnosis/): Springer LNNS (ICACIT 2024). Authors: Vanshaj Awasthi, Garima Shukla, Sakshi Nipane, Dolly Sharma, Sofia Singh. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_ai-deeplearning-healthcareinnovation-activity-7394592378759589888-P8-8
- [Priority-Driven MAC Protocol Design for IoT-Enabled Wireless Body Area Networks](https://vanshajawasthi.online/research/priority-mac-protocol-iot-wban/): Springer LNEE (FLAME 2024). Authors: Vanshaj Awasthi, Garima Shukla. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_design-and-implement-an-iot-solution-to-address-activity-7389609514108366848-Dm_k
- [Reinforcement Learning and Spatio-Temporal GNNs for Alzheimer's Disease Progression Prediction with VAE-Based Data Imputation](https://vanshajawasthi.online/research/reinforcement-learning-gnn-alzheimers-progression-vae/): IEEE ICETET-SIP 25. Authors: Vanshaj Awasthi, Garima Shukla, Balamurugan Balusamy, Monali Gulhane, Sampurna Roy, Rajiv Iyer. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_bestpaperaward-ai-healthcare-activity-7365601336765177857-N4TD
- [Hybrid RBC Morphology Analysis and Diagnostic Framework for β-Thalassemia Using SEBlock-CBAM Enhanced MobileNetV2 and TabNet](https://vanshajawasthi.online/research/seblock-cbam-mobilenetv2-tabnet-beta-thalassemia/): IEEE ICCSAI 2025. Authors: Vanshaj Awasthi, Garima Shukla, Prashant Dubey. Publisher copy: https://doi.org/10.1109/ICCSAI64074.2025.11064027
- [Hybrid 3D CNN and ResNet Deep Transfer Learning for High-Resolution Hippocampal Atrophy Mapping and Automated Alzheimer's MRI Diagnosis](https://vanshajawasthi.online/research/hybrid-3d-cnn-resnet-transfer-learning-alzheimers/): ETASR – Engineering, Technology & Applied Science Research (Scopus Q2). Authors: Vanshaj Awasthi, Garima Shukla, Sakshi Nipane, Dipti Theng, Rolly Gupta, Sofia Singh, Rajiv Iyer. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_etasr-alzheimers-deeplearning-activity-7358715984716742656-7EJD
- [Neuro-Oncology Reimagined: Tailored Prognosis for Brain Tumors Using Adaptive Machine Learning](https://vanshajawasthi.online/research/adaptive-ml-brain-tumor-prognosis/): IEEE. Authors: Vanshaj Awasthi, et al.. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_neurooncology-braintumor-machinelearning-activity-7341008021696778245-2z03
- [Survey on Asclepius: A User-Centric Chatbot Bridging the Gap in Healthcare Integrated with VPN Technology](https://vanshajawasthi.online/research/asclepius-healthcare-chatbot-vpn-survey/): IEEE AECE 2024. Authors: Vanshaj Awasthi, Garima Shukla. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_researchpublication-healthcareai-chatbot-activity-7317373535516033025-WVSn
- [Analysis and Impact of Electromagnetic Field Leakage in Wireless Power Transfer on the Central Nervous System: A Neural Network Approach](https://vanshajawasthi.online/research/emf-leakage-wpt-central-nervous-system/): IEEE Sustainable Energy & Future Electric Transportation 2024. Authors: Vanshaj Awasthi, Garima Shukla, Prafull Goswami, Sofia Singh. Publisher copy: https://www.linkedin.com/posts/vanshaj-awasthi_research-publication-bestpaperaward-activity-7258036056845918208-F-sD

## Awards

- Best Paper Award — Track 6 — IEEE ICETET-SIP 25, G.H. Raisoni College of Engineering, Nagpur (2025) for "Reinforcement Learning and Spatio-Temporal GNNs for Alzheimer's Disease Progression Prediction with VAE-Based Data Imputation". Collaborators: Garima Shukla, Balamurugan Balusamy, Monali Gulhane, Sampurna Roy, Rajiv Iyer.
- Best Paper Award — IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation 2024 (2024) for "Analysis and Impact of Electromagnetic Field Leakage in Wireless Power Transfer on the Central Nervous System: A Neural Network Approach". Collaborators: Garima Shukla, Prafull Goswami, Sofia Singh.

## Experience

- Full Stack Software Developer, Evonix Technologies Pvt. Ltd. (Jan 2026 - Present), Pune, Maharashtra: Promoted from intern to full-time, taking increasing ownership of production applications and client-facing software projects. Build full-stack applications across frontend, backend, APIs, authentication, database architecture, and deployment. Work extensively with PostgreSQL and Supabase, including Supabase Edge Functions, and build backend workflows with Python. Integrate AI capabilities using OpenAI APIs, NLP, RAG, embeddings, vector databases, and AI agents, and use Redis where appropriate for application workflows. Implement authentication, OAuth, RBAC, payments, and secure API integrations, and deploy across AWS and Railway.
- AI/ML Lead, Google Developers Group (Sep 2024 - Jul 2025): Led a 170-member AI/ML-focused community, delivering around 20 AI/ML training sessions and organizing 4 technical competitions. Developed industry-aligned curricula, mentored members on AI/ML topics, and coordinated technical and community initiatives.
- Software Developer (Intern), Evonix Technologies Pvt. Ltd. (Jul 2024 - Jan 2026), Pune, Maharashtra: Built and shipped production features across the full stack, working with backend and API development, PostgreSQL and Supabase, and AI/chatbot conversational functionality. Contributed to debugging, integration, and application development, laying the groundwork that led to a full-time offer.

## Skills

- Software Engineering: React, Next.js, Node.js, TypeScript, Python, JavaScript, Vite, Framer Motion, Git, C++, Java, C, Bash/Shell, Linux, VS Code, Figma, Project Leadership
- Backend & Data: PostgreSQL, Supabase, Supabase Edge Functions, Redis, REST APIs, SQL, MongoDB, FastAPI, Flask, GraphQL
- AI Engineering: OpenAI API, NLP, RAG, Embeddings, Vector Databases, AI Agents, Generative AI, Machine Learning, Deep Learning, Computer Vision, PyTorch, TensorFlow, LangChain, Hugging Face, OpenCV, Keras, Scikit-learn, Optuna, Pandas, NumPy, Matplotlib, Seaborn, Jupyter
- Cloud & Infrastructure: AWS, Railway, Azure, GCP, Docker, Nginx, CI/CD
- Application Engineering: Authentication, OAuth, RBAC, Payments, Realtime, File Storage, Notifications, Mobile

## Certifications

18 certifications:

- Machine Learning Specialization — DeepLearning.AI / Stanford University (2025)
- Advanced Learning Algorithms — DeepLearning.AI / Stanford University (2025)
- Supervised Machine Learning: Regression & Classification — DeepLearning.AI / Stanford University (2025)
- Unsupervised Learning, Recommenders & Reinforcement Learning — DeepLearning.AI / Stanford University (2025)
- AWS Cloud Technical Essentials — Amazon Web Services (AWS) (2024), score 97.46%
- Generative AI: Introduction and Applications — IBM / Coursera (2024)
- Generative AI: Foundation Models and Platforms — IBM / Coursera (2025)
- Generative AI: Prompt Engineering Basics — IBM / Coursera (2024)
- Preparing Data for Analysis with Microsoft Excel — Microsoft / Coursera (2025), score 92.66%
- Python for Data Science, AI & Development — IBM / Coursera (2024)
- Deep Learning with PyTorch: Build a Neural Network — IBM / Coursera (2024)
- Introduction to Artificial Intelligence (AI) — IBM / Coursera (2024)
- Neural Networks and Deep Learning — DeepLearning.AI (2024)
- Getting Started with Git and GitHub — IBM / Coursera (2023)
- Python 101 for Data Science — IBM / Cognitive Class (2023)
- Building Data Analyst AI Agent — Analytics Vidhya (2024)
- Introduction to Data Engineering — DeepLearning.AI & AWS / Coursera (2024)
- Migrating to the AWS Cloud — AWS / Coursera (2024), score 92.78%

## Contact

- Email: awasthivanshaj@gmail.com
- WhatsApp: +91 6389299561
- Location: Pune, Maharashtra (Remote Ready)

## Optional

- [Blog on Medium](https://medium.com/@vanshajawasthi): Writing on AI/ML engineering
- [Moments gallery](https://vanshajawasthi.online/#moments): Talks, workshops, hackathons, and conference photos