AI ML Engineer with 1+ years in Deep Learning & Financial Data
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Software Engineering graduate with strong interest in Artificial Intelligence, Machine Learning, and Data Science. Experienced in building AI-based solutions using Python and LSTM models. Developed an academic project for stock and cryptocurrency prediction using real-world financial data. Microsoft Certified in Azure AI Fundamentals. Actively seeking internship opportunities in AI, Machine Learning, or Data Science to apply and enhance practical skills.
COMSATS Institute of Information Technology
Bachelor's of Sciences · Software Engineering
September 1, 2021 – June 1, 2025
AI-Based Crypto Price Prediction System
June 1, 2025 – June 1, 2026
Developed a full-stack AI-powered cryptocurrency price prediction system focused on forecasting short-term crypto market movements using deep learning techniques. Collected and processed approximately 2 years of minute-level cryptocurrency market data from Binance API including Bitcoin and Ethereum. Handled large-scale datasets containing over 1.1 million rows of historical Bitcoin market data. Performed extensive data preprocessing including cleaning missing values, duplicate removal, normalization, and timestamp formatting. Applied feature engineering techniques using technical indicators such as Moving Average (MA), Exponential Moving Average (EMA), RSI, MACD. Implemented and trained an LSTM (Long Short-Term Memory) deep learning model for time-series forecasting and future price prediction. Designed sequence-based datasets using sliding window techniques for short-term prediction intervals. Built a scalable microservice architecture with separate repositories for frontend, backend, and AI services. Developed AI APIs using FastAPI for model inference and prediction serving. Integrated frontend dashboards and backend APIs using Next.js, Node.js, and Express.js. Conducted real-world validation testing using 250+ prediction scenarios across multiple time intervals. Gained practical understanding of overfitting, real-world validation challenges, and financial market volatility.
Microsoft Certified in Azure AI Fundamentals
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project demonstrates initiative and a strong interest in AI/ML, aligning with a target role in this field. The project's full-stack nature and use of various technologies (frontend, backend, AI services) show a breadth of technical curiosity. However, the lack of diverse projects or professional experience limits the assessment of adaptability and broader cultural fit beyond academic settings. The candidate is actively seeking internship opportunities, indicating a growth mindset.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, and communication skills. The project description indicates practical application of these skills through team collaboration and real-world validation. However, without specific assessment data for these soft skills, a definitive operational fit cannot be fully determined.