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Full-stack engineer and ML researcher. Currently finishing up my MSCS at Stevens Institute of Technology, previously a Sr. Software Engineer at E42.ai. I like building things that sit at the intersection of software engineering and AI vector databases, benchmarking tools, RAG pipelines, and the occasional quantum ML experiment with PennyLane. TaskHarbor: Distributed background job framework in Go with pluggable drivers, lease-based execution, retries, and dead-letter queue handling. BlinkDB: Versioned in-memory key-value store with TTL, compare-and-swap, tombstones, and time-travel queries. HTTP API with snapshot semantics and lazy expiry GC. Quantum CNN: Hybrid MERA-based quantum-classical neural network for multiclass image classification on 16–32 qubits using PennyLane and TensorFlow Quantum. |
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Languages: Python, C, C++, Java, JavaScript, Golang
Web & APIs: Django, DRF, Flask, FastAPI, React, AngularJS, Node.js, Socket.io, Celery, REST, SOAP
ML & AI: TensorFlow, Keras, PyTorch, PennyLane, TensorFlow Quantum, NLP, Computer Vision, LLMs, RAG, Multi-Agent Systems
Data & Big Data: NumPy, Pandas, Hadoop, Spark, Kafka
Databases: SQL, PostgreSQL, MongoDB, ChromaDB, Redis
Cloud: AWS, GCP
DevOps & Tools: Linux, Docker, Kubernetes, Git, Jenkins, SonarQube



