Hisham Parveez

Optimum Solutions provides digital and IT solutions and services to enterprises.

• Designed and implemented a data archival solution for banking systems, achieving 90% data compression and optimizing storage costs.
• Built scalable ETL pipelines using Apache Spark, enabling seamless data processing and storage in cloud-based environments (HCP and MinIO) and S3.
• Developed a cost-effective SQL-based data retrieval system, reducing operational expenses by 50% compared to the legacy solution.
• Engineered RESTful API endpoints using Flask to facilitate secure and efficient data consumption by front-end applications.
• Designed and trained deep neural network models for advanced data-driven predictions, enhancing decision-making capabilities.
• Tech stack . Python, Spark, S3, Flask, PyTorch, sklearn

Bavest Technologies is a fintech startup for investment research and portfolio tracking. My role consisted of developing and testing backend and AI models for finance.

• Developed a Python SDK (Bavest API) to fetch real-time market data, sentiment analysis, and alternative datasets, enabling seamless integration for investment research.
• Built a financial NLP data pipeline to train and fine-tune finance-specific LLMs, enhancing AI-driven insights for investors.
• Co-developed a Fund Analysis Engine that automates financial report generation and predictive analytics, improving investment decision-making.
• Optimized an AI-powered document reader for ESG data extraction, boosting F1-score by 8% through advanced data preprocessing and feature engineering.
• Tech stack: Python, AWS Lambda, Docker, Pydantic, Redis, Kanban.

Infosys is a multinational information technology company that provides IT services.

• Worked with the Infosys VR team to develop interactive VR data analytics applications using Agile/Scrum methodologies.
• Designed and implemented data analytics integration for a 3D simulation system, streamlining workflows and enhancing performance.
• Tech stack : Python, scikit-learn, Unity 3D, C++PostgreSQL.

• Built end-to-end data analytics tools, cutting costs by 16% via efficiency improvements.
• Led POC development for document retrieval systems, refining solutions based on stakeholder input.
• Tech stack : Python, Django, Pandas, SQLAlchemy, Docker

• Gained hands-on experience with Python, SQL, .NET, JavaScript, and Angular while building an e-commerce website as part of a development team.
• Completed training and evaluations, resulting in a employment offer for strong technical performance.