AI & Machine Learning Engineer | Edge Computing | MLOps | Cloud AI | Robotics | Rutgers ECE
Building scalable, impact-driven ML systems · AWS certified MLE associate · Open to opportunities
🌐 Portfolio | 💼 LinkedIn | 📧 Email | 📍 New Jersey, USA
Master's ECE student at Rutgers University specializing in AI, Machine Learning, and Cloud-Native Systems. I enjoy building scalable, deployable products and collaborating across teams to turn complex ideas into reliable solutions.
- 🔭 Currently working on a Vision-Guided Robotics project and Multi-Agent RL for Warehouse Optimization
- 🌱 Deepening expertise in MLOps, LLMs, RAG pipelines, and Federated Learning
- 🎓 Teaching Assistant for 550+ students across Machine Vision, Cloud Computing, and Computer Architecture
- ☁️ Certified in AWS ML Engineer and Google Cloud ML Engineer (both Feb 2026)
Machine Learning & AI
PyTorch TensorFlow scikit-learn LangChain RAG LLMs CNNs Reinforcement Learning Anomaly Detection Computer Vision OpenCV YOLOv8
Cloud & Infrastructure
AWS SageMaker Azure GCP Vertex AI Docker Kubernetes Snowflake Apache Spark MLflow FastAPI
Programming
Python Java C++ SQL JavaScript Bash MATLAB React.js
Robotics & Edge
ROS Industrial IoT Edge-Cloud Integration Force Control Verilog
Machine Learning Engineer Intern · Kaizen Studio LLP (Jun 2025 – Dec 2025)
- Built ML-powered plugins on AWS to automate rendering workflows → 30% efficiency gain
- Developed model inference pipelines on AWS SageMaker → 40% reduction in manual processing
- Fine-tuned and integrated ML models for predictive analytics and creative automation
Teaching Assistant · Rutgers University (Jan 2024 – May 2026)
- Mentored 550+ students across Machine Vision, Cloud Computing, Computer Architecture, and DSP
- Guided student projects using PyTorch, TensorFlow, OpenCV, AWS, and Azure
Cloud Intern · IBN Technologies Ltd. (Jul 2022 – Dec 2023)
- Built cloud-native applications and data pipelines using Azure and Snowflake
- Deployed containerized ML inference services on AKS with 95% uptime
- Automated IT service delivery with scripting and DevOps tooling
| Project | Description | Stack |
|---|---|---|
| Vision-Guided Robotics (TEDSR) | Force-position control robot with real-time vision guidance | ROS, PyTorch, YOLOv8, OpenCV |
| Multi-Agent RL — Warehouse Optimization | MARL policies for warehouse task routing & throughput | RLlib, Gymnasium, PyTorch, PPO, GCP |
| Cloud-Native Fraud Detection Pipeline | End-to-end fraud detection with SHAP explainability | XGBoost, LightGBM, MLflow, SageMaker |
| Domain-Adaptive Sentiment Classifier | RAG-augmented NLP model with full MLOps deployment | Hugging Face, FastAPI, Docker, AWS S3 |
| XAI for Safety-Critical Systems (planned) | Explainability framework with counterfactual reasoning | LIME, SHAP, GNNExplainer, FastAPI |
M.S. Electrical & Computer Engineering — Machine Learning & AI · GPA 3.50 Rutgers University (Jan 2024 – May 2026)
B.Tech Electronics & Telecommunication Engineering · GPA 3.60 Vishwakarma Institute of Information Technology (Aug 2019 – May 2023)
- ☁️ AWS Certified Machine Learning Engineer – Associate (Feb 2026)
- ☁️ Google Cloud Certification: Machine Learning Engineer (Feb 2026)
- 🤖 Socially Cognizant Robotics Certificate (Dec 2025)
Open to full-time ML Engineering, AI Research, and Cloud-Native roles starting May 2026.
Let's connect →