Work Experience
My professional journey in machine learning and AI, building impactful solutions and advancing the field through research and development.
● CurrentFull-time
ML Engineer
FinGenesis
2024 – Present•Remote
Key Impact
Developing advanced AI solutions for financial markets and trading optimization
Key Achievements
- Implemented DL/ML models for financial symbol prediction
- Built agentic framework for real-time ticker-based sentiment analysis
- Designed rule-based and LLM-powered trading strategies
- Created comprehensive backtesting framework
- Optimized data pipeline efficiency, reducing processing time by 60%
Technologies & Skills
Deep LearningMachine LearningFinanceLLMTrading StrategiesPythonData Engineering
CompletedResearch
AI Research Scholar
XAI Lab - Concordia University
May 2023 – Sep 2023•Montreal, Canada
Key Impact
Conducted advanced research on midterm electric load forecasting, developing novel hybrid models combining traditional and deep learning approaches.
Key Achievements
- Implemented hybrid ETS+RD-LSTM forecasting model achieving 15% better accuracy
- Conducted comprehensive literature review of 50+ SOTA forecasting methods
- Enhanced model architecture through systematic hyperparameter optimization
- Led ablation study comparing 8 different deep learning approaches
- Published findings at IEEE International Conference on Smart Cities
Technologies & Skills
LSTMTime Series ForecastingResearchETS ModelsPyTorchScientific Writing
Let's Work Together
I'm passionate about solving complex problems with AI and building impactful solutions.