Stack Developer Devops Engineer

SEKHAR MARTHA

Full Stack Developer Python, Django, Flask Cloud & DevOps Engineer AI/ML & Data Integration

***********@*****.*** 407-***-**** LinkedIn

SUMMARY

Highly accomplished Python Developer with 5+ years of experience specializing in building robust web applications, AI agents, and scalable cloud solutions. Currently leading critical cloud migration and AI/ML initiatives, designing and deploying production-grade AI agentic workflows using Lang Chain, Lang Graph, LLMs, and RAG techniques with Vector Databases (FAISS). Proven expertise in full-stack development (Django, Flask, React.js, AngularJS), comprehensive DevOps practices (Kubernetes, Docker, Jenkins, Terraform, CI/CD), and public cloud platforms (GCP, AWS). Adept at leading complex cloud migration, application modernization, and real-time data processing projects in large-scale enterprise environments. Proficient with SQL and NoSQL databases (MongoDB, Cassandra, PostgreSQL) and experienced in optimizing applications through object-oriented design and performance tuning.

TECHNICAL SKILLS

Programming Languages: Python, JavaScript, HTML5, CSS, ActionScript 3, C++, PHP, Java, Bash, Ruby, Perl, PowerShell

AI/ML & Data: LangChain, LangGraph, LLMs, RAG, Vector Databases, Semantic Search, Pandas, Matplotlib

Web Frameworks: Django, Flask, FastAPI, React.js, AngularJS, jQuery

Cloud Platforms: GCP, AWS

DevOps & CI/CD: Kubernetes (k8s), Docker, Jenkins, Terraform, Helm, Chef, Puppet, Ansible, Maven

Databases: PostgreSQL, MongoDB, Cassandra, Oracle, MySQL, SQL Server, SQLite, OrientDB

Monitoring & Logging: Stackdriver, Splunk, Nagios, CloudWatch, Cavission

Web/App Servers: Apache Tomcat, Nginx, JBoss, WebLogic, WebSphere

Testing: PyUnit, PyTest, Selenium, JUnit, Rational Function Tester

PROFESSIONAL EXPERIENCE

Python Developer

BNYmellon September 2024 – Present

Responsibilities:

Spearheading the migration of 9 critical microservices to Google Cloud Platform, with an upcoming release of 4 additional services, ensuring high availability and seamless transition for over 5 million users.

Designed, developed, and deployed production-grade AI agentic workflows using LangChain and LangGraph for automated financial reporting and analysis, integrating with GCP-hosted vector stores (e.g., Cloud SQL with pgvector) and custom LLM endpoints.

Implemented robust semantic search pipelines incorporating RAG techniques and FAISS to enhance intelligent document and knowledge retrieval from financial statements and market data, improving information access for internal teams by 30%.

Developed and deployed multiple microservices using Python (FastAPI, Flask) integrated with LLMs for real-time inference and orchestration, supporting over 100 concurrent requests/second.

Containerized AI services and deployed them on Kubernetes (GKE) clusters using Docker, managing deployments via Jenkins pipelines and Helm charts, reducing deployment time by 40%.

Continuously enhancing enterprise search capabilities across diverse document stores by leveraging semantic embeddings and vector similarity algorithms, improving search result relevance for over 500 internal users.

Established comprehensive monitoring and logging for LLM agent performance and interactions using Stackdriver and Splunk, proactively identifying and resolving issues to maintain 99.9% uptime and data integrity.

Actively involved in re-architecting and migrating core components of a high-traffic mobile application from Skava to Google Cloud, focusing on optimizing performance and scalability.

Managed and optimized the CI/CD pipeline, configuring Jenkins jobs, Maven builds, and Docker image creation/deployment to GKE clusters, contributing to a daily release cadence.

Dynamically provisioned and managed development and QA environments on GCP using Terraform to meet aggressive engineering and QA timelines.

Configured and managed granular IAM permissions for Pub/Sub topics and sinks, ensuring secure and compliant data ingestion into Stackdriver for centralized logging and monitoring.

Automated the provisioning and ongoing management of Google Kubernetes Engine (GKE) clusters using Chef and Puppet, ensuring consistent and secure environments.

Python Developer

Rubrik, Palo Atlo, CA Jan 2024 – August 2024

Responsibilities:

Developed extensive Python scripts and applications, integrating CSS for web styling.

Built AI-powered workflow automation tools using LangChain and Flask, enabling structured multi-step interactions with LLMs and backend data services for citizen service applications.

Implemented semantic search and vector embedding indexing for intelligent filtering of legal and citizen service documents, improving data retrieval efficiency by 25%.

Designed knowledge base integrations using RAG techniques to align internal datasets with GPT-based responses, significantly reducing manual research time for the legal compliance department.

Enhanced the web portal's interactivity by integrating React.js components with Flask APIs for real-time insights and user feedback processing, improving user engagement by 15%.

Built and tested scalable back-end microservices with Django and Python for AI inference and response generation, capable of handling 200 transactions/second.

Managed project deployment to Jenkins using Git version control and established GitHub repositories for collaborative development.

Performed Functional, Regression, Integration, and Communication testing to ensure application stability and quality.

Installed and configured Witbe, Python, Jira, and Test Rail for server setups and built AWS servers for deployment and data processing.

Implemented a Continuous Delivery pipeline with Docker, Jenkins, GitHub, Nexus, Maven, and AWS AMIs.

Developed reusable ActionScript 3 object code for Flash MP3 players and optimized image compression for web delivery.

Optimized Python code using smart pointers, profilers, and C++ Standard Template Library for improved performance.

Developed Django views and templates using Python to create a user-friendly website interface.

Created RESTful API services using the Python Flask framework.

Deployed production sites using Apache Servers with mod Python and AWS.

Python Developer

HCL, Bengaluru, India October 2021 – April 2023

Responsibilities:

Implemented Batch Job Scheduling utilizing Multi-threading and Concurrency for enhanced data processing efficiency.

Developed full-stack modules using Python on Django Web Framework with GIT, leveraging HTML, CSS5, jQuery, JSON, and JavaScript for responsive frontend applications.

Managed servers across development, testing, and production environments, ensuring continuous operation.

Utilized Linux profiler Valgrind for code optimization, resulting in 10% performance improvement in data processing.

Involved in C++ development, bug fixing, and unit testing of layout commands for core application modules.

Used Team Foundation Server (TFS) for version control and programmed components using C/C++.

Automated RabbitMQ cluster installations and configurations using Python/Bash scripting, reducing setup time by 8 hours.

Designed complex application database SQL statements for querying, updating, and reporting using Python Database Connector.

Developed Flex-based applications, including designing UI components, custom component skinning, debugging, and deployment.

Rewrote existing Java and C++ applications in Python, improving maintainability and development speed by 20%.

Performed database operations and queries using MySQL.

Developed and designed automation frameworks using Python and Shell scripting, automating 5 key daily operational processes.

Used Python scripts to update content in the database and manipulate files programmatically.

Generated Python Django Forms to record online user data efficiently.

Jr. Python Developer

Aadya Informatics Private Limited, Hyderabad, India May 2020 – September 2021

Responsibilities:

Developed web applications using the Django Framework and implemented MVC architecture with Flask and Spring frameworks.

Used Python to populate JSON files for testing Django Websites, improving test data management.

Updated and manipulated content and files using Python scripts.

Managed URLs and application parameters using Django configuration.

Worked with Python OpenStack APIs for cloud resource management.

Generated Python Django Forms for recording online user data.

Utilized Python and Django for graphics generation, XML processing, data exchange, and business logic implementation.

Used Pandas API to structure data as time series and tabular formats for efficient timestamp data manipulation and retrieval.

Developed tools using Python, Shell scripting, and XML to automate 3 menial tasks, saving ~5 hours per week.

Built various graphs for business decision-making using Python Matplotlib library.

Wrote and executed MySQL database queries from Python using Python-MySQL connector and MySQLdb package.

Developed RESTful Web Services for sending and receiving data in JSON format from external interfaces.

Performed troubleshooting, fixed, and deployed numerous Python bug fixes for two main applications, ensuring continuous data flow for both customers and internal service teams.

EDUCATION

Master of Science in Computer Information Science Southern Arkansas University, Magnolia, Arkansas

Bachelor’s degree in Information Technology Bapatla Engineering College, Bapatla, India

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