Bridging hardware design, quantum computing, and financial markets through analytical thinking and innovative problem-solving.
EXPLORE MY WORKDesigned and verified a 5-stage pipelined RISC-V processor optimized for power efficiency using advanced clock gating
Developed a multi-task NLP pipeline using BioBERT and GPT-2 to bridge the gap between PubMed medical literature and user-friendly cancer treatment assistance.
Developed a institutional analysis platform by integrating automated complex calculations with advanced market internals like GEX and Vanna. Traders can now model risk, analyze market tilt, and optimize their Greeks before committing capital to complex multi-leg trades
Developed a non-invasive, strip-based colorimetric sensing platform designed to detect sodium levels in human sweat. By integrating a custom photodiode-optical module with the Kubelka-Munk theory.
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Created a risk-adjusted portfolio optimization tool using modern portfolio theory, incorporating Black-Litterman model and efficient frontier analysis.
I'm deeply fascinated by the intricate world of VLSI design, where transistors meet logic to create the processors that power our modern world. My journey spans from designing low-level hardware architectures to exploring the quantum realm where classical physics breaks down.
Beyond semiconductors, I'm captivated by financial markets and quantitative trading. I apply the same analytical rigor I use in circuit design to decode market patterns, build trading algorithms, and understand the mathematical frameworks behind hedge fund strategies.
When I'm not immersed in work, you'll find me behind a camera capturing the world through a different lens, or fine-tuning my audio setup as an audiophile—because good sound quality isn't just preference, it's physics and engineering at its finest.
I believe the future lies at the convergence of quantum computing and finance, and I'm positioning myself to be part of that revolution.
Verilog, SystemVerilog, Cadence, RTL Design
Qiskit, Cirq, Quantum Algorithms
Statistical Arbitrage, Risk Management, Options Pricing
Photography, Audiophile, Sound Engineering
From circuits to qubits to markets—tracking the evolution of my interests
I developed a strong interest in electrical engineering, particularly fascinated by power grids, motors, and especially magnetism. Inspired by Nikola Tesla, I pursued a focus in electromagnetism.
While riding the Singapore Flyer, the numerous bank names across the skyline sparked my curiosity about finance. This inspired me to delve into how these institutions operate and study the 2008 financial crisis and housing market collapse.
Started B.E in Electronics and Communication Engineering at PSG College of Technology. Embarked on a journey to understand the fundamentals of digital systems, signal processing, and semiconductor technology.
Developed an intelligent medical AI chatbot (OncoChats) leveraging BioBERT and GPT-2 models fine-tuned on PubMed literature. Created a multi-task learning system for cancer type classification, question answering, and natural language response generation with Swift-based mobile interface and Flask backend.
Immersed myself in VLSI design, RTL coding, and digital circuit architectures. Developed strong foundations in Verilog, SystemVerilog, and hardware description languages while exploring processor design and optimization techniques.
Began exploring quantum computing and quantum algorithms. Self-studied quantum mechanics, linear algebra, and started building quantum circuits using Qiskit. Fascinated by the potential of quantum computing in solving complex optimization problems.
Designed and implemented a novel colorimetric biosensing platform for non-invasive sodium detection in sweat using ESP32. Integrated optical sensing with environmental monitoring (temperature/humidity) and applied Kubelka-Munk theory for precise quantification with wireless web dashboard interface.
Started exploring quantitative finance and algorithmic trading. Applied signal processing and statistical analysis knowledge from engineering to decode market patterns and build systematic trading strategies.
Currently in my final year at PSG College of Technology, bridging hardware design, quantum computing, and financial markets. Building expertise at the convergence of semiconductor technology and computational finance while exploring algorithmic trading and advanced VLSI design principles.
Exploring how quantum algorithms like Shor's algorithm will reshape financial security systems and what this means for blockchain technology and secure trading platforms in the coming decade.
Read More →A deep dive into how 3D transistor structures revolutionized semiconductor manufacturing, enabling the sub-7nm process nodes that power today's high-performance computing systems.
Read More →Drawing parallels between mean-reversion in quantum mechanics and pairs trading strategies, and how understanding correlation structures can lead to profitable trading opportunities.
Read More →From DACs to amplifiers—breaking down the signal processing chain that separates audiophile-grade equipment from consumer products, and why specifications don't tell the whole story.
Read More →Investigating how quantum annealing and QAOA can solve NP-hard portfolio optimization problems faster than classical methods, with practical implementations on current quantum hardware.
Read More →How my background in VLSI and signal processing transformed my approach to photography—from understanding image sensors to applying Fourier transforms in post-processing workflows.
Read More →Interested in collaborating on VLSI projects, quantum computing research, or discussing trading strategies? Reach out!