Completed intensive training over 3 months to master Python, JavaScript and theoretical CS topics through independent projects, pair-programming, and small mentor-led groups.

Established a reputation for being an effective mentor to peer learners to solidify and improve understanding of challenging technical concepts and API development in Python.

Studied system design fundamentals in small groups led by senior engineers from top companies, comparing concepts in modern web-based applications.

Lead the Machine Learning club to organize Bi-monthly sessions to train peers in ML concepts, work on interesting projects and build base for development of machine learning infrastructure.

Data Transfer and Visualization: Built and deployed a Docker-based data transfer system to Apache Solr servers using Azure Messaging. Enhanced Terminal Sales Reps' ability to analyze sales data through custom, dynamic dashboards in .NET and TypeScript/Node.js, accelerating decision-making and increasing revenue by 20%.

Legacy System Migration & Cloud Integration: Migrated Solaris codebases to Linux, using C++, Python, and C# across diverse environments, and Azure serverless architecture, optimizing performance and reducing costs.

Database Optimization: Optimized SQL Offline running as a TIDAL job, reducing space utilization from 1 GB to 60MB and query times from 2 hours to 20 minutes. Enhanced data accessibility and scalability using Kafka for efficient data streaming.

Data Validator on Cloud: Architected and implemented a unified data validator using Trino and ASP.NET, reducing manual data validation costs by 90%, and enhancing scalability and efficiency using Azure web apps.

Secure RESTful APIs: Guided a Python project using FastAPI and IAM authentication for secure API integrations. Delivered scalable workflows using Amazon S3 and Lambda, streamlining collaboration.

Full-Stack: Led the test-driven development of software solutions with high-performance dockerized backend services on Azure, and AngularJS on the frontend, while optimizing data access with Redis for improved throughput (40%) and reduced latency (30%).

Automation: Streamlined processes with Robotic Process Automation, increasing operational scalability by 25%

Agile Delivery: Guided architectural decisions and ensured seamless software delivery in Azure's Agile CI/CD environment.

System Debugging: Strengthened system reliability via comprehensive log analysis in Kibana, resolving bugs and enhancing stability.