Large Language Models · ML Optimization · Computer Vision · AI for Healthcare · Adaptive Learning Systems
💡 About Me: I am a Machine Learning Engineer and AI Researcher dedicated to building scalable AI inference pipelines, designing neural architectures, and contributing to impactful open-source tech.
Transformers | LLMs | Prompt Engineering | OpenCV | MediaPipe | NLTK | ETL Pipelines
| 📚 Research Publication | 📖 Venue / Status | 🔗 Link |
|---|---|---|
| 🔹 Optimizing FAANG Stock Forecasting: The Power of Feature Engineering and LSTM | IEEE AIDE 2025 |  |
| 🔹 Enhancing Fare Prediction Accuracy in Ride Hailing Through Neural Networks | IEEE AIDE 2025 | |
| 🔹 Prediction of Traveling Ka Band Wave Tube Amplifier Characteristics Using FNN | ICKECS 2025 | |
| 🔹 Towards Precision Agriculture: A Real-Time Soil Fertility Monitoring System | E3S Web of Conf. | |
| 🔹 Predicting Enzyme Property Alterations: A Machine Learning Approach | IEEE MPCON 2025 | |
| 🔹 NUA-FedBeam: Noisy-Uplink-Aware Federated Downlink Beamforming for Dist. MIMO | Research |  |
| 🔹 Digital Twin-assisted belief-state RL for latency-robust ISAC in 6G networks | Research | |
| 🔹 Building a Multilingual, Voice-First Banking Assistant for the Mifos Ecosystem | Research | |
| 🔹 Machine Learning-Augmented Segment Routing over IPv6 for QoS-Aware 5G Networks | Research | |
🌟 GSoC 2025 Contributor – Selected among top 1.2% applicants worldwide.
🎙️ LinkedIn 2× Top Voice in GIS / Machine Learning (2024).
🥇 Global Rank 1 in Python Programming – HackerRank (2023).
🏅 Excellence in Machine Learning Award – Aqmenz Automation Pvt Ltd (2024).
⭐ NCC Senior Under Officer – Rank 1, Karnataka & Goa Directorate (2500+ cadets).
🎖️ NCC Gold Medal – Ek Bharat Shreshtha Bharat (EBSB); Certificates A, B, C.
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