Rakshith Kumar

About Rakshith Kumar

Senior Software Engineer specializing in Python backend development with experience building microservices, web services, and enterprise automation systems for large financial institutions. Experienced in designing scalable backend systems, developing Python packages, and improving performance of enterprise applications.Worked with global banking clients including Bank of America and Citibank, contributing to the development of platforms that support machine learning workflows, enterprise automation, and large-scale internal operations. Experience includes building RESTful services, designing microservices architectures, and migrating legacy systems from Perl to Python using optimized coding practices.Contributed to the development of an enterprise data science platform used for development, deployment, and monitoring of AI and machine learning models. Also built backend microservices for a DigitalMail Delivery Platform that enabled electronic delivery of physical mail and generated approximately $30M in impact for Bank of America.Experience includes improving system performance through architectural changes such as migrating internal services to gRPC for faster inter-service communication and implementing asynchronous processing with Apache Kafka to handle long-running workloads and improve system responsiveness.Mentored junior developers on coding principles, backend architecture, and troubleshooting complex systems, while collaborating closely with engineering teams, product teams, and client stakeholders.Core areas of expertise include Python, backend development, microservices architecture, web services, databases, and enterprise system automation.

Experience

1. Senior Software Engineer

   LTIMindtree

   Jun 2024 — Present · Tampa, FL, US

   Design and develop backend systems including Python packages, RESTful web services, and microservices used for enterprise automation and operational workflows.• Architect and build Flask-based web services with multiple endpoints to manage Autosys operations including JIL validation, JIL implementation, job event handling, machine status management, and job status checks.• Developed a Python package to validate and implement Autosys jobs, machines, virtual machines, and calendars, replacing a legacy Perl implementation and significantly improving performance.• Achieved 10x improvement in validation time (7–8 minutes vs 80 minutes) and 3x improvement in implementation time (70 minutes vs 240 minutes) through optimized Python implementation.• Reduced manual workload for Autosys administrators by 80% by automating operational workflows through backend services and APIs.• Contributed to system architecture and backend design decisions for Autosys automation services and enterprise job orchestration workflows.• Implemented asynchronous processing patterns using Apache Kafka to decouple API layers from heavy background processing, eliminating long-running requests and improving system responsiveness.• Mentored 3–4 junior Python developers on coding principles, architecture understanding, and troubleshooting backend systems.• Collaborated with engineering teams, product teams, and client stakeholders to deliver backend solutions aligned with operational requirements.• Received recognition and appreciation from the Senior Vice President at Citibank.Technologies: Python, Flask, Apache Kafka, Microservices, Oracle DB, Jenkins, RLM, Ansible, Linux (RedHat, Ubuntu), Git, Bitbucket.

Education

• Sir M Visvesvaraya Institute Of Technology

  Bachelor of Engineering (B.E.), Electrical and Electronics Engineering

  2012 — 2016

• Arizona State University

  Master of Science, Information Technology