I build production-ready AI systems that drive business impact—
from predicting market trends to recognizing patterns in sports and agriculture.
While most AI engineers specialize in one domain, I've successfully delivered projects in:
This cross-domain expertise means I can quickly adapt to your specific industry challenges.
Built 30+ projects independently—from concept to deployment. I don't wait for training; I figure it out. Your team gets someone who:
I focus on solutions that matter:
Every project solves a real problem, not just an interesting technical challenge.
Comprehensive skill set across AI/ML specializations and modern technologies
Real Problems, Real Solutions
Financial traders need reliable market forecasting to make informed decisions, but manual analysis is time-consuming and error-prone.
Built a machine learning system that analyzes historical stock data and predicts price movements using time series analysis and regression models.
Cryptocurrency markets are highly volatile and driven by sentiment. Traders need real-time insights into market mood to time their trades.
Developed an NLP-powered sentiment analysis system that processes social media, news, and forums to gauge Bitcoin market sentiment in real-time.
Sports analytics teams struggle to track individual players across multiple camera angles and game footage for performance analysis.
Created a computer vision system using deep learning that accurately identifies and tracks players across video frames, enabling automated performance analytics.
Agricultural supply chains need automated quality control and inventory management, but manual sorting is expensive and inconsistent.
Built a CNN-based image recognition system that accurately classifies fruits and vegetables, enabling automated sorting and quality assessment.
Users need efficient ways to interact with systems through natural language interfaces.
Developed a command-line chatbot using NLP that understands user queries and provides intelligent responses.
Manual publication processes are time-consuming and prone to errors.
Built an automated workflow system that streamlines the book publication process from submission to final output.
I'm a self-taught AI/ML Engineer who believes in learning by building. What started as curiosity about machine learning quickly evolved into a portfolio of 30+ production-ready projects across multiple industries.
My approach is simple: find real-world problems, build practical solutions, and focus on business impact. Whether it's predicting stock prices, tracking athletes in real-time, or automating agricultural workflows, I thrive on challenges that require both technical depth and creative problem-solving.
I specialize in Computer Vision, NLP, and Financial Machine Learning—but my real strength is adapting quickly to new domains. I'm excited to bring this versatility and drive to a team that values innovation and practical AI applications.
My self-taught journey from curiosity to 30+ production projects
Discovered passion for artificial intelligence and machine learning
Mastered Python programming and core machine learning concepts
Built image recognition and object detection systems
Expanded into natural language processing and financial modeling
Delivered production-ready solutions across finance, sports, agriculture, and more
Active development and continuous learning
Download my resume to see detailed project descriptions, technical skills, and how I can contribute to your team.
Download Resume (PDF)I'm available for new opportunities and collaborations
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