I’m a passionate web app developer with a strong focus on modern web technologies to create websites that look great, feel intuitive, and perform flawlessly. Previously a software engineer, I’m now pursuing a master’s in Computer Science with a concentration in AI.
Engineered a production-grade RAG pipeline using LangChain and Llama-based models to dynamically synthesize curricula from complex technical documentation, enhancing adaptive learning delivery.
Designed a hybrid network simulator featuring autonomous AI agents for natural language topology generation and automated log analysis to translate system metrics into human-readable insights
Optimized the NSF-funded “QUINTET” agents using Chain-of-Thought and Sandwich prompting strategies, driving a 111% increase in Faithfulness (0.38 to 0.80) and achieving a 0.735 overall RAGAS validation score.
Architected a Reinforcement Learning from Human Feedback (RLHF) pipeline using Direct Preference Optimization (DPO), leveraging student preference datasets to align agent outputs for educational accuracy.
Led a cross-functional engineering team to plan and execute a major architectural pivot, migrating a legacy monolith to a scalable microservices architecture utilizing Golang and Kafka.
Achieved a 40% enhancement in the turnaround time for development and deployment cycles through this strategic microservices migration.
Developed a custom market data compression algorithm utilizing low-level C structs and smart packet concatenation, drastically reducing payload size and optimizing data reception speed by 30%.
Developed a highly scalable algo-trading platform backend using Golang and Python, successfully handling 500+ concurrent custom trading algorithms and over 10,000 retail traders within the first quarter of launch. Demonstrating experience with high-volume, real-time data processing.
Designed high-throughput real-time data pipelines, processing hundreds of messages per second by implementing TCP sockets for internal microservices and WebSockets with custom compression for end-clients.
Optimized PostgreSQL databases handling millions of rows by implementing advanced indexing, sharding, and decoupling read/write replicas to support millisecond-level financial market data writes.
Collaborated independently with Exchange end-adapter teams to ensure seamless, low-latency market data integration.
Developed a new scalable REST-based backend using Django, functioning as a Platform-as-a-Service (PaaS) to allow multiple external B2B applications to connect seamlessly.
Developed a lightweight version of the core trading platform and built a cross-platform mobile application (iOS/Android) using the Ionic framework, driving new B2B client onboarding.
I was part of the University Coding Academy. I passed a rigorous coding exam and interview, and was selected among a few students from the entire university. In uCA, we were taught complex subjects like advanced algorithms and advanced operating systems by external faculty associated with industry leaders like Infosys and Google.
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