My Work

Software Developer, IBM

Aug 2022-July 2024

Senior Software Engineer, Carelon Global Solutions

Jan 2021 - Aug 2022

• Proficient in Python Scripting: Leveraged Python for efficient document processing and data manipulation, ensuring high performance and reliability.

• RESTful API Development: Developed robust APIs using FastAPI, enabling seamless integration with external applications and enhancing system interoperability.

• Code Quality and Testing: Wrote maintainable and testable code with a focus on unit and integration testing using pytest, ensuring software reliability and quality.

• Cross-Functional Collaboration: Worked closely with cross-functional teams to align project goals and deliver successful outcomes for the Document Processing Project.

• AI/ML Techniques: Applied AI/ML techniques, including prompt engineering with LLM models, WatsonX.ai, Watson Orchestrate, and GenAI, to develop innovative solutions.

• Version Control with Git: Utilized Git for effective version control, ensuring smooth project management and collaboration.

• Kubernetes Training: Enhanced project deployment and scalability through comprehensive Kubernetes training.

• Service Performance Monitoring: Monitored and optimized service performance using Prometheus, Grafana, and Loki, ensuring system reliability and efficiency.

• ML Lifecycle Management: Integrated MLflow to track experiments, manage ML models, and automate the ML lifecycle, improving the efficiency of ML operations.

• Stakeholder Communication: Communicated effectively with stakeholders to ensure backend functionality met business objectives and expectations.

• Prompt Engineering: Implemented advanced prompt engineering techniques with LLM models to optimize AI interactions and outputs.

• Generative AI Solutions: Leveraged GenAI to harness generative AI capabilities, driving solution innovation and efficiency.

• Low-Code MLOps Platform Development: Designed and implemented a comprehensive low-code MLOps platform, incorporating architecture design, continuous integration, data versioning, training tracking, artifact management, and model monitoring using Docker, Kubernetes, CI/CD tools, MLflow, Kubeflow, and Kserve.

• Python Libraries Development: Created Python libraries for the in-house MLOps platform's Python SDK, accelerating the development and deployment of machine learning applications to production.

• ML Workflow Orchestration: Utilized MLflow for experiment tracking and orchestrated ML workflows using Kubeflow pipelines. Successfully deployed containerized code on Cortex with AWS (EC2, S3, ECR).

• Python Proficiency: Demonstrated expertise in Python, developing robust Flask-based APIs and microservices.

• Flask-Based API Development: Developed a Flask-based Python API to facilitate easy access to cloud storage via HTTP, enhancing data accessibility and management.

• ETL Processes: Experienced in working with popular Python libraries and frameworks for efficient data extraction, transformation, and loading (ETL) processes.

• Data Manipulation and Analysis: Adept at utilizing Python libraries such as Pandas and NumPy for data transformation and preprocessing.

• Python Scripting and Web Development: Proficient in Python scripting and well-versed in using web frameworks like Flask to build robust and scalable RESTful APIs.

• SQL and Database Management: Skilled in writing SQL queries and utilizing database management systems for data extraction, transformation, and loading tasks.

• RESTful API Development: Developed RESTful APIs using Flask, enabling seamless integration and interaction with external applications.

• Python Script Development: Developed and improved Python scripts to meet requirements, using Secure CRT (Linux server) with pdb for debugging.

• Apache Airflow Integration: Integrated Python tasks with Apache Airflow, effectively scheduling them without the need for licensed schedulers like Control-M.

• SQL Database Interaction: Retrieved information by querying SQL databases from Python using Python-SQL Connector and SQL DB package.

Senior Software Engineer, Mphasis

Aug 2019 - Jan 2021

Software Engineer, Boeing

Jan 2018 - Aug 2019

• Requirements Management: Engaged in review meetings to understand and manage project requirements effectively, ensuring alignment with project goals.

• Technical Issue Resolution: Partnered with developers to troubleshoot and resolve technical issues, enhancing system reliability and performance.

• Test Case Walkthroughs and Bug Tracking: Led test case walkthroughs to ensure compliance with standards, and extensively used JIRA for bug tracking and resolution.

• Development Issue Resolution: Played a key role in weekly meetings to discuss and resolve development issues, ensuring project milestones were met on time.

• FMS Simulation Testing: Utilized the FMS simulation tool to test the functionality and performance of the Flight Management System.

Senior Software Engineer, Honeywell Technology Solution

Apr 2014 - Jan 2018

• Honeywell Touch-Screen Controller Testing: Worked as a Software Engineer on the Honeywell Touch Screen Controller (TSC) for the PV10 Gulf-stream G500/600 program, focusing on enhancing interface intuitiveness and reducing operation times.

• Test Case Design and Execution: Designed and executed comprehensive test cases and scenarios to verify system functionality and reliability.

• Team Coordination and Training: Coordinated team activities, conducted reviews, and efficiently trained new members to enhance project efficiency.

• Simulation Testing and Collaboration: Performed simulation tests using TIU tools for aircraft configurations and collaborated closely with the Flight Management System (FMS) team to identify and resolve system issues.

• Compliance with Safety Standards: Utilized TIU tools and C++ programming to simulate aircraft configurations, ensuring compliance with DO-178C safety standards.

• Test Case Development: Proficient in utilizing the Python IDE PyCharm for crafting test cases.

(Serving Notice Period)

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