Welcome to my GitHub profile! I'm a passionate Senior Software Engineer specializing in developing robust, scalable systems and leveraging cutting-edge technologies. My career spans across machine learning, infrastructure optimization, systems design, and software engineering.

Senior Software Engineer (May 2024 - Present)

• Optimized Apache Superset dashboards through caching, server-side timeouts, and query optimizations.
• Enhanced infrastructure performance and security using advanced NGINX configurations (reverse proxy, rate limiting, IP blocking).
• Deployed secure VPN solutions in AWS VPCs, managing TCP/IP protocols, ingestion pipelines, and archiving data into PostgreSQL and OpenSearch.
• Led large-scale AWS migrations, refining IAM roles, security group rules, and ensuring seamless transitions between accounts.
• Implemented PostgreSQL read-replica architecture and built custom ETL processes to significantly reduce latency.
• Automated critical processes with systemd, cron jobs, AWS Alarms, and developed robust retry mechanisms.
• Engineered high-performance, event-driven architectures using AWS services (S3, SQS, Lambda, Kafka, Redis) to optimize data loads and enhance page-load performance.
• Established resilient cross-cluster and cross-region OpenSearch replication for high availability and disaster recovery.
• Collaborated closely with developers to maintain code quality, adhere to best practices, and ensure timely project delivery.

Senior Software Engineer (Jun 2019 - May 2024)

• Developed an intelligent Finance Chatbot leveraging open-source Large Language Models (LLM) and advanced Entity/Intent Recognition techniques.
• Built Golang REST API wrappers for seamless client integrations.
• Created RealTimeGPU, a high-performance parallel GPU system for rapid password processing.
• Developed comprehensive Insurance & Investment platforms for clear insights into policy details and stock market data.
• Engineered robust Profile Data Extraction systems for bank statements and innovated PopplerLambda for advanced document processing.
• Implemented monitoring & analytics solutions to track metrics, user behaviors, and performance trends.
• Enhanced parser accuracy through refined categorization and transaction confidence mechanisms, integrating deep learning and NER-based solutions.

Machine Learning Engineer (Jun 2018 - May 2019)

• Developed sophisticated financial portfolios based on stock correlation analysis using Pearson and alternative correlation coefficients.
• Built predictive models leveraging neural networks and comprehensive financial indicators.
• Contributed to Django front-end development to facilitate portfolio management.

Software Engineer (Mar 2017 - May 2018)

• Engineered web automation tools for efficient data scraping using Python and Beautiful Soup.

Feel free to explore my repositories to find projects that interest you. I am always open to collaboration and welcome feedback and suggestions.

Have questions, suggestions, or interested in collaborating? Reach out to me at [email protected] or connect on LinkedIn and Twitter.

Thanks for visiting my GitHub profile. I hope you find my contributions valuable. Happy exploring!