Madhuram Bohra

Aspiring AI/ML Engineer & Data Scientist

Passionate about building intelligent systems and leveraging data to drive innovation. Specialized in machine learning, financial engineering, and AI-powered solutions.

About Me

I'm a passionate aspiring AI/ML Engineer and Data Scientist with a strong background in mathematics, financial engineering, and cutting-edge technology. Currently pursuing my MSc in Financial Engineering at WorldQuant University, I bring a unique blend of theoretical knowledge and practical experience to every project.

My expertise spans across machine learning, deep learning, natural language processing, and agentic AI systems. I've worked on diverse projects ranging from AI-powered financial simulators to intelligent workflow automation, and I am actively exploring ways to build autonomous agents that orchestrate complex business processes. I'm passionate about creating AI systems that work alongside humans to drive innovation and business value.

Education

MSc in Financial Engineering

WorldQuant University

Jan 2025 - Jan 2027

CGPA: 9.4 | Focus on quantitative finance, risk management, and algorithmic trading

B.S in Data Science & Applications

Indian Institute of Technology, Madras

Jan 2021 - Apr 2025

CGPA: 8.51 | Specialized in machine learning, statistics, and data analytics

BSc in Mathematics

Mithibai College, CGPA

Sep 2020 - May 2023

CGPA: 8.10 | Strong foundation in mathematical concepts and analytical thinking

Experience

AI/ML Intern

Black Hole Infinverse

Apr 2025 - June 2025
  • Developed AI-powered financial simulator with cash flow projections and personalized strategy recommendations
  • Built intelligent chatbot with RAG functionality via Supabase and MongoDB Atlas
  • Designed MCP servers to use in Claude Desktop for trading analysis and order flow assessment

Data Science Intern

Greek Technologies Pvt Ltd

May 2022 - July 2022
  • Worked on real-time intraday data, updating stock market strategy algorithms for Python compatibility
  • Automated stock market strategies using OOP principles for modularity and scalability
  • Optimized algorithm performance using binary data to reduce latency in real-time market applications

Academic Enrichment Programs

ACM Summer School - Responsible and Safe AI

June 2024

2nd June 2024 – 15th June 2024

Intensive program focusing on ethical AI development, safety protocols, and responsible AI implementation practices.

AI Entrepreneurship Workshop - IITM

July - Aug 2024

31st July 2024 – 10th August 2024

Workshop on AI-driven entrepreneurship, startup methodologies, and commercializing AI innovations at IIT Madras.

Audited NLP and ADA at CMI

Aug - Dec 2024

4th August 2024 – 4th December 2024

Advanced coursework in Natural Language Processing and Algorithm Design & Analysis at Chennai Mathematical Institute.

Online Certifications

Machine Learning using numpy

Python for Financial Analysis and Algorithmic Trading

Data Science Complete Bootcamp

Nism Series VIII - Equity Derivatives

Data Analytics and Visualization Job Simulation - Accenture (Forage)

Risk - Goldman Sachs (Forage)

Markets Quantitative Analysis - Citi (Forage)

Featured Projects

Custom MCP Client - Proof of Concept

Python 3.12+ MCP SDK Groq API Streamlit AsyncIO

Built a custom MCP (Model Context Protocol) client as a proof of concept to scale up with multiple MCP servers. Leverages LLM's reasoning capabilities to intelligently select and use the right tool at the right time based on user queries and preferences, demonstrating seamless integration across diverse tool ecosystems for enhanced productivity and intelligent automation workflows.

Multiple n8n Workflows

n8n Automation RAG

Developed diverse automation workflows using n8n — ranging from Gmail, Google Calendar, and Google Sheets automation to lead generation, invoicing, and classification pipelines. Integrated with external MCP servers and APIs to enable efficient chatbot systems using RAG-based search and Supabase for real-time, context-aware interactions.

AI Driven Real-time Trading System

AI Trading RL

Developing a real-time portfolio optimization and rebalancing system utilizing agentic AI and Reinforcement Learning frameworks. This project aims to consider both quantitative and qualitative variables for a more focused approach, leading to a sustainable low-frequency trading system.

Hobby Projects

Explore my collection of personal projects and experiments that showcase my passion for continuous learning and hands-on exploration in AI/ML and financial analysis.

n8n Workflows

Collection of intelligent automation workflows including AI agents, voice assistants, customer support bots, and business process automation solutions.

Market Risk Analysis

Quantitative finance projects including derivatives pricing models, portfolio optimization, stock prediction (IIT Madras Quantageddon), and options pricing techniques.

Technical Skills

Programming Languages

Java Python SQL Excel

AI/ML Libraries

Pandas NumPy Scikit-learn PyTorch Transformers Hugging Face Reinforcement Learning

Development Tools

VSCode Google Colab Jupyter Notebook Cursor Lovable

LLM Integration

Langchain CrewAI Ollama Claude Desktop MCP n8n

Mathematical & Statistical Proficiency

Linear Algebra Calculus Probability Permutations & Combinations

Quantitative Techniques

VAR (MC & Parametric) CAPM Black-Scholes Binomial Options Pricing Hedging Strategies Arbitrage Strategies Options Spread ARIMA GARCH Unit Root Tests

Get In Touch

Let's Connect

I'm always interested in discussing new opportunities, innovative projects, and collaborations in AI/ML and data science.