I'm an engineer working across Applied AI/ML, Industrial Data Science, and Software Engineering. During my internship at Yokogawa (Abu Dhabi), I built Python automation for oil & gas engineering workflows and predictive models for live refinery and petrochemical processes on projects involving ENOC and Borouge. Outside of industry, I take ideas from concept to deployment (full-stack products, RAG systems, and computer vision solutions), and my research in anomaly detection, representation learning, and edge AI has produced IEEE and Springer publications, including an IEEE Best Paper Award.
B.Tech in Electrical & Electronics Engineering at NIT Nagaland (CGPA 9.24/10), currently pursuing a BS in Data Science & Applications at IIT Madras.
Founder of ORYX Agency, providing software and AI development solutions for clients.
| Project | Focus | Recognition |
|---|---|---|
| Edge-Efficient Autoencoder for ECG Arrhythmia Detection | Unsupervised ECG anomaly detection for real-time arrhythmia detection on edge/wearable devices, using Flat VAE, LSTM-VAE, and a shallow Conv1D autoencoder | 🏆 IEEE Best Paper Award |
| AI-Based Bearing Fault Diagnosis | Bearing fault diagnostics for electrical machines, progressing from classical ML → VAE → 1D-CNN with latent-space anomaly scoring and class-conditional trust scoring | Published · VETOMAC 2025 (Springer), IIT Guwahati |
| Eagle Eyes: PPE Compliance Detection | Real-time YOLO-based PPE monitoring (helmet, vest) for construction sites, exported to ONNX / TFLite / TF.js for CPU, edge, and browser deployment | Published · PREMI 2025 (Springer LNCS), IIT Delhi |
| Synapse: RAG Health Chatbot | RAG over a FAISS vector store grounding Llama-2-7B responses in WHO / Gale Encyclopedia sources, reaching 91% accuracy (up from a 65% baseline) with under 200ms retrieval | Personal project |
- Real-Time Detection of Personal Protective Equipment in Construction Sites Using YOLO, Sasikumar, A., Ganga, D., Ngullie, N. (PREMI 2025, Springer LNCS, IIT Delhi)
- Lightweight and Efficient Variational Autoencoder for Arrhythmia Detection, co-authored with Dr. D. Ganga (IEEE Best Paper)
- Two papers on AI-based bearing fault diagnosis (VETOMAC 2025, Springer Proceedings, IIT Guwahati)
- 4 manuscripts under review: edge AI, anomaly detection, uncertainty quantification, fault classification (IEEE/Springer venues)
Yokogawa, Advanced Solutions & Optimization Dept., Abu Dhabi, UAE Advanced Solutions Engineering Intern · Dec 2025 – Feb 2026
- Designed Python automation for oil & gas well-test accept/reject analysis: rule-based logic, data-quality checks, automated reporting
- Contributed to AI-driven ethane steam-cracking optimization (Borouge AI Optimizer): conversion-prediction models and severity-aware multivariate optimization
- Built inferential soft-sensor models for refinery distillation on the ENOC project using Linear Regression, PCR, and PLS
Noviqa Management Services, Independent Software Engineering Consultant · 2026
- Designed and deployed a production-ready business website (Next.js, React, TypeScript, Tailwind CSS, Vercel)
- Engineered secure backend workflows: server-side validation, rate limiting, CSP, HSTS, DKIM/SPF email authentication
- Managed end-to-end deployment: custom domain, DNS, SSL provisioning, business email
National Institute of Technology (NIT) Nagaland, B.Tech Electrical & Electronics Engineering · CGPA 9.24/10 · 2022–2026 Indian Institute of Technology (IIT) Madras, BS Data Science & Applications (ongoing, online degree) · 2022–2028
Languages
AI / ML
Web & Application Development
Cloud & Tools
Industrial & Process Engineering: Time-Series Analysis · Statistical & Multivariate Modelling · Process Optimization · Soft Sensors · Automation · Control Systems · Signal Processing
- Best Paper Award, IEEE 2nd International Conference on Circuits, Power & Intelligent Systems (CCPIS 2025)
- First Prize, Hackathon, NIT Nagaland (Nov 2025)
- Secretary, Entrepreneurship & Incubation Cell (IIC), NIT Nagaland
- Committee Member, IEEE Student Branch, NIT Nagaland