Tamzid Ullah

Skills

Programming

Java, C++, Python, JavaScript, SQL, MQL4, MQL5

Algorithmic Trading

MetaTrader 4/5, Multi-Period Binomial Models

Machine Learning

AI Model Development, Data Analysis

Big Data

Large-scale Data Processing, Time Series Analysis

Projects

Advanced Trading Algorithm

Developed a sophisticated trading model using multi-period binomial analysis, optimized for tick data and real-time market dynamics.

EURUSD Data Analysis

Processed and analyzed 5-10 years of EURUSD 1-Minute/Tick data, handling up to 2.16 billion data records for market structure insights.

Economic Network Model

Created a real-time econometric trading model integrating social welfare theory, game theory, and economic networks.

Experience

Software Engineer & AI Consultant

Outlier.ai, Scale AI | Feb 2024 - Present

Enhanced AI model accuracy by 20%
Improved response clarity by 15%
Increased safe programming practices adherence by 10%

Generalist Software Engineer

askatlas.org | Jan 2024 - Apr 2024

Developed Atlas AI, achieving 10,000 installs
Increased user engagement by 35%
Improved user retention by 20%

Proprietary Trader

Proprietary Trading Firm | Nov 2022 - Oct 2023

Ranked in the top 5% in a trading challenge
Improved trading decision accuracy by 20%
Achieved a 10% average monthly return

Education

Master of Science in Computer Science

New York Institute of Technology

Expected Graduation: Fall 2024

GPA: 3.72

Relevant Courses:

Algorithm Concepts
Operating System Security
Big Data Analytics
Machine Learning
Programming Languages
Database Systems

Bachelor of Science in Interdisciplinary Studies

New York Institute of Technology

Graduated: Fall 2023

GPA: 3.4

Concentrations: Behavioral Sciences, Business, Computer Science

Kalshi Market Analysis Automation

This Python-based automation tool analyzes and monitors Kalshi market data in real-time. It leverages big data techniques to prescribe a monotonic, econometric function on the Kalshi market using mini-batch updates. The project incorporates advanced concepts such as first-order stochastic dominance from predicate logic and ordered pairs.

Key Features:

Fetches and processes active markets from Kalshi API
Identifies popular markets with high trading volumes
Calculates the 9-period Simple Moving Average (SMA9) to detect market patterns
Generates alerts for potential trading decisions based on SMA patterns
Monitors market prices in real-time
Implements mini-batch updates for efficient data processing
Applies first-order stochastic dominance principles for decision making

This project demonstrates my ability to work with real-time big data, implement complex financial models, and create practical automation tools for market analysis.

View on GitHub

4qNBA: Real-time NBA Game Predictions

4QNBA is an advanced NBA game prediction system that leverages real-time data analysis and machine learning techniques to provide accurate forecasts for ongoing games.

Key Features:

Real-time data scraping from ESPN
Statistical analysis using standard deviation and confidence intervals
Machine learning-based prediction models
Automated SMS alerts via Twilio integration
Firebase Firestore for data storage and retrieval
Stripe integration for subscription-based access

Technologies Used:

Node.js with Express.js
Firebase Functions and Firestore
Cheerio for web scraping
Moment.js for date handling
Twilio API for SMS notifications
Stripe API for payment processing

Visit 4QNBA.com

Ask Atlas AI: Revolutionizing Knowledge Discovery

Ask Atlas AI is an innovative PWA (Progressive Web App) available on iOS and Android, designed to transform the way people access and interact with information.

Key Features:

AI-powered knowledge discovery
Real-time updates and cross-platform functionality
Advanced natural language processing (NLP)
Interactive 3D visualizations using MapBox 3D
Personalized adaptive learning modules

Technologies Used:

React Native for cross-platform development
Firebase for backend services and real-time database
Gemini Pro 1.5 as core LLM Model
MapBox API for 3D map visualizations
Progressive Web App (PWA) technologies for offline functionality

Technical Highlights:

Implemented advanced NLP algorithms for accurate query interpretation
Developed robust data pipelines for seamless integration of multiple APIs
Optimized AI models for real-time performance on mobile devices
Created an intuitive UI/UX design for effortless navigation and interaction
Utilized caching mechanisms for improved app responsiveness

View on GitHub

Certificates and Specializations

IBM | June 2024

View Certificate

About Me

Skills

Programming

Algorithmic Trading

Machine Learning

Big Data

Projects

Advanced Trading Algorithm

EURUSD Data Analysis

Economic Network Model

Experience

Software Engineer & AI Consultant

Generalist Software Engineer

Proprietary Trader

Education

Master of Science in Computer Science

Bachelor of Science in Interdisciplinary Studies

Kalshi Market Analysis Automation

Key Features:

4qNBA: Real-time NBA Game Predictions

Key Features:

Technologies Used:

Ask Atlas AI: Revolutionizing Knowledge Discovery

Key Features:

Technologies Used:

Technical Highlights:

Certificates and Specializations

Google Advanced Data Analytics

Google Business Intelligence

Google Data Analytics

Microsoft Certified: Azure Data Engineer Associate

Google Cybersecurity

Data Engineering, Big Data, and Machine Learning on GCP

Meta Android Developer

DeepLearning.AI TensorFlow Developer

Google UX Design

Machine Learning

Meta iOS Developer

Meta AR Developer

Meta Data Analyst

Meta Marketing Analytics

TensorFlow: Advanced Techniques

IBM Cybersecurity Analyst

My Resume

Get in Touch