HAKIKAT SINGH

"Truth is not what you want it to be; it is what it is, and you must bend to its power or live a lie."

- Miyamoto Musashi

The Lore

Hakikat Singh

About Me

I am a passionate developer and researcher specializing in financial engineering, quantitative analysis, and AI-driven solutions. With a background in both software development and financial mathematics, I bridge the gap between technology and finance.

My expertise lies in developing sophisticated algorithms for financial modeling, risk assessment, and optimization, with a particular interest in applying machine learning techniques to solve complex financial problems.

I'm a big FC Barcelona fan and enjoy following their matches whenever I can. The team's philosophy of beautiful, strategic play resonates with my approach to problem-solving in technology.

I'm dedicated to pushing the boundaries of what's possible at the intersection of technology and finance, creating innovative solutions that drive real-world impact in the financial sector.

AI & Machine Learning

Developing sophisticated algorithms for financial modeling, risk assessment, and optimization using cutting-edge machine learning techniques.

Quantum Computing

Researching and implementing quantum algorithms for solving complex computational problems in finance and optimization.

Full Stack Development

Building modern, responsive web applications with Next.js, React, and other cutting-edge technologies for financial and data-driven solutions.

Quantitative Finance

Applying mathematical models and statistical techniques to analyze financial markets, develop trading strategies, and optimize investment portfolios.

Chronicles

2024 - Present

Lead Developer

IMBUEIT (US Tech Startup)

Built a social crowdfunding platform (LinkedIn meets Kickstarter) using Next.js and Supabase. Led a team of 3 interns to automate CI/CD workflows, slashing deployment time by 40%. Designed a clean UI with TailwindCSS, improving user retention by 15%.

Next.js

Supabase

TailwindCSS

CI/CD

Team Leadership

2023 - Present

AI & Quant Researcher

Independent

Designed an RL-based trading bot achieving 12% MoM returns in volatile markets. Built a system integrating NLP sentiment analysis with QuantConnect backtesting. Created an NLP framework to validate AI models pre-deployment.

Reinforcement Learning

NLP

QuantConnect

Algorithmic Trading

Sentiment Analysis

2023 - 2024

Open-Source Contributor

Various Projects

Developed CUDA-enhanced fluid simulations for real-time risk modeling. Contributed to IBM's Qiskit, refining quantum circuit optimizations for finance.

CUDA

Fluid Simulations

Qiskit

Quantum Computing

Risk Modeling

Technical Skills

Backend & Systems

Python90%

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Node.js85%

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Databases80%

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Project Catalog

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Research and Publication(3 projects)

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Hybrid Classical-Quantum Algorithms for Financial Linear Systems

Research and Publication

Research Paper

Hybrid Classical-Quantum Algorithms for Financial Linear Systems

Combined CUDA-accelerated preconditioning with quantum HHL, solving sparse systems 50% faster than classical methods.

Research Paper

Quantum Monte Carlo for Portfolio Optimization

Research and Publication

Research Paper

Quantum Monte Carlo for Portfolio Optimization

Applied quantum algorithms to high-dimensional risk modeling, outperforming classical benchmarks in portfolio optimization scenarios.

Research Paper

Research and Publication

Research Paper

Dynamic Caching for Adaptive Databases

Reduced query latency by 35% through workload-driven algorithm switching in high-frequency trading database systems.

Research Paper

Quantitative Software(5 projects)

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Quantitative Software

Quickscope

Uses Twitter and Yahoo Finance to generate trading signals.

View on GitHub

Quantitative Software

Alphaforge

A minimal but functional MCP-LEAN bridge with Gemini integration, designed for QuantConnect interaction.

View on GitHub

Quantitative Software

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Sherlock

Sharpe:2.48

Win Rate:88.3%

CAGR:64.7%

Max DD:-12.3%

Restricted Access

Quantitative Software

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MozartEdge

Sharpe:2.21

Win Rate:94.5%

CAGR:29.6%

Max DD:-6.8%

Restricted Access

Quantitative Software

Horcrux

An AI-based news and market scrapper that daily automatically selects tools, configurations, and instruments, and trades with the LLM and MCP trained in the system.

Source: User-provided

Simulations(3 projects)

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Simulations

ZenGesture

A web-based application that integrates hand pose recognition with Three.js for interactive 3D experiences. Uses TensorFlow.js's Handpose model for real-time hand gesture detection.

View on GitHub

Simulations

FluidSimulations-CUDA

A Houdini extension designed to enhance the accuracy and efficiency of fluid simulations through GPU acceleration (CUDA), volumetric data management (OpenVDB), and adaptive mesh refinement.

View on GitHub

Simulations

AquaShift

A real-time water simulation pipeline that integrates 3D geospatial data to simulate dynamic water bodies and incorporates real-time data from sources like NASA Aqua/MODIS and NOAA.

View on GitHub

Quantum Tools(2 projects)

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Quantum Tools

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AskQubits

MVP integrating financial data scraping, AI analysis, and quantum computations.

Restricted Access

Quantum Tools

ElysiumQ

Implements a hybrid system combining classical and quantum computing techniques to solve large-scale linear systems of equations, potentially linking to HHL algorithm research.

View on GitHub

System(4 projects)

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System

Neural Net Car

A self-driving car model using neural networks, trainable entirely within a web browser environment, offering an accessible platform for research and development in autonomous driving.

View on GitHub