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About me

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Python
C++
SQL
R
NumPy
Pandas
Scikit-Learn
PyTorch
TensorFlow
FastAPI
Flask
Postman
Kafka
Airflow
Git
Linux
Grafana
Selenium

Experience

Acuity Knowledge Partners (Oct 2021 – Aug 2025)

  • Delivery Lead (Apr 2025 – Aug 2025)
    • Developed a task‑monitoring and team‑communication application.
    • Built a synthetic‑data generation tool to accelerate software development.
    • Created a C++ matrix‑transformation engine with a Rust layer for dashboards.
    • Contributed to an LLM‑powered SQL‑to‑text application.
  • Senior Associate (Apr 2024 – Apr 2025)
    • Developed data‑engineering and job‑scheduling pipelines.
    • Ingested and transformed RiskMetrics data using Python functions and SQL stored procedures.
    • Built Grafana dashboards for real‑time job and pipeline monitoring.
    • Supported ETL workflows through job orchestration and SQL stored‑procedure development.
  • Associate (Apr 2023 – Apr 2024)
    • Spearheaded Python backend/API development and SQL database management for a US-based asset manager.
    • Managed daily job workflows using Grafana and Tidal.
    • Supported internal data science initiatives and supervised two external university research projects.
    • Served as a guest lecturer at various institutions.
  • Analyst (Oct 2021 – Apr 2023)
    • Built a Python pipeline to backtest new quantitative trading strategies.
    • Developed the full backend (ETL, Flask-Restful APIs, ML models) for a business process automation tool.
  • Research Intern (Sep 2021 – Oct 2021)
    • Developed a Selenium-based web scraping tool to extract and analyze social media data.

Open University of Sri Lanka (Jun 2023 – Oct 2023)

  • Statistics Tutor (Part-time)
    • Provided remote tutoring in educational statistics and communication.

Programming Skills

  • Programming Languages: Python (Object-Oriented) , C++ , SQL , and R.
  • Data Science & ML: NumPy , pandas , scikit-learn , SciPy , TensorFlow , PyTorch , Transformers (FinBERT) , LSTM, Reinforcement Learning using Gymnasium, and JAX.
  • AI & NLP: LangChain , LangGraph , and Pinecone (vector DB).
  • Data Engineering & APIs: FastAPI , Flask , Kafka , Airflow and Prefect.
  • Quant & Systems: Quantlib, Algorithmic Trading , Backtesting , Time-Series Analysis , and Risk Metrics.
  • Developer Tools: Git , Linux , Grafana , and Selenium

Engineering with data

With a four-year+ track record at Acuity Knowledge Partners, I’ve architected data-driven solutions for quantitative finance. My fast progression from Analyst to Delivery Lead has been centered on building and managing high-performance systems for a US-based asset management firm.

My expertise includes developing Python-based backtesting pipelines, automating complex business processes, and managing full-stack data systems (FastAPI, SQL, Prefect). Beyond my technical role, I actively mentor and lead, having supervised two university research projects and served as a guest lecturer in data science.