Senior Python & Generative AI Engineer

Vimal Sajeeva

SENIOR PYTHON & GENERATIVE AI ENGINEER

Phone: 714-***-**** Email: **********@*****.***

Professional Summary

Senior Python and Generative AI Engineer with 6+ years of experience designing and delivering scalable backend, AI/ML, and data-intensive applications across healthcare, banking, insurance, and retail domains. Strong expertise in Python, FastAPI, REST APIs, microservices, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, embeddings, vector search, and LLM application development.

oHands-on experience building production-oriented AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, LangChain, LangGraph, LlamaIndex, Hugging Face, and vector databases. Experienced in developing agentic workflows, tool/function calling, semantic search, document intelligence, knowledge retrieval, AI evaluation, guardrails, prompt-injection protection, and model/application observability.

oStrong backend and distributed-systems background with Python, asynchronous programming, FastAPI, Flask, Django, GraphQL, PostgreSQL, MongoDB, Redis, Kafka, Apache Spark, PySpark, and Airflow. Experienced in building cloud-native applications and CI/CD pipelines using AWS, Azure, Docker, Kubernetes, GitHub Actions, Jenkins, Azure DevOps, and Terraform.

oExperienced in translating business requirements into secure, reliable, and scalable software solutions, with strengths in system design, API development, performance optimization, automated testing, production support, root-cause analysis, Agile/Scrum, and cross-functional collaboration.

Technical Skills

Programming: Python, SQL, Java, JavaScript, Bash

Generative AI & LLMs: Generative AI, Large Language Models (LLMs), RAG, Agentic AI, AI Agents, Prompt Engineering, LLM Application Development, Tool/Function Calling, Embeddings, Semantic Search, Vector Search, AI Evaluation, Guardrails, Hallucination Mitigation, Prompt-Injection Protection

AI/ML Frameworks & Platforms: OpenAI, Azure OpenAI, AWS Bedrock, LangChain, LangGraph, LlamaIndex, Hugging Face, PyTorch, TensorFlow, Scikit-learn, NLP, Transformer Models

Python & Backend Engineering: FastAPI, Flask, Django, REST APIs, GraphQL, Microservices, AsyncIO, Object-Oriented Programming, Design Patterns, Data Validation, API Security

Data Engineering: Apache Spark, PySpark, Spark SQL, Pandas, NumPy, ETL/ELT, Data Pipelines, Airflow, Kafka, Distributed Data Processing, Parallel Processing

Databases & Search: PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, DynamoDB, Redis, Pinecone, FAISS, ChromaDB, Elastic search

Cloud & DevOps: AWS, Azure, GCP, S3, EC2, Lambda, ECS, EventBridge, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Azure DevOps, CI/CD, Git, Bitbucket, Artifactory

Testing & Quality: PyTest, unittest, Unit Testing, Integration Testing, Functional Testing, Postman, Code Reviews, Debugging, Root-Cause Analysis, Performance Optimization

Software Engineering: System Design, Microservices Architecture, API Design, Authentication, Authorization, Secure Coding, Monitoring, Production Support, SDLC, Agile/Scrum, Technical Documentation, Jira

Additional Technologies: Java, Spring Boot, React, Angular, HTML, CSS, Linux/Unix

Professional Experience:

Python AI Engineer Carbon Health, CA, June 2024 – Present

oDesign and develop scalable Python-based AI applications and backend services using FastAPI, REST APIs, microservices, and asynchronous programming to support healthcare workflows and enterprise integrations.

oBuild Generative AI applications using OpenAI, Azure OpenAI, AWS Bedrock, LLMs, embeddings, prompt engineering, and Retrieval-Augmented Generation (RAG) for document understanding, knowledge retrieval, and workflow automation.

oDevelop AI agents and agentic workflows with LangChain and LangGraph, integrating LLMs with APIs, databases, business services, and external tools through tool/function calling and multi-step workflows.

oEngineer document-processing and semantic-search solutions using embeddings and vector databases, optimizing chunking strategies, metadata filtering, retrieval quality, reranking, and hallucination mitigation.

oDevelop high-throughput asynchronous Python services using AsyncIO, caching, structured error handling, data validation, authentication, authorization, and API security practices.

oDesign and maintain REST and GraphQL integrations across PostgreSQL, MongoDB, Redis, and other enterprise data sources, including schema evolution, migrations, query optimization, and data-model improvements.

oImplement automated unit, integration, and functional testing using PyTest and unittest, improving application reliability while supporting code reviews, debugging, RCA, performance tuning, and production incidents.

oContainerize AI and backend applications using Docker and support cloud-native deployments across AWS and Azure environments, integrating services including Amazon Bedrock, S3, Lambda, and Azure AI services.

oDevelop and maintain CI/CD workflows using GitHub Actions and Git-based development practices to automate build, test, deployment, and release processes.

oEvaluate AI-assisted development and LLM technologies, including GitHub Copilot, Claude, and Cursor, analyzing model behavior, identifying software defects, and communicating actionable findings to engineering and research teams.

oApply AI reliability and security practices including evaluation, observability, guardrails, prompt-injection protection, and model/application monitoring to improve the quality and operational reliability of AI-powered applications.

oCollaborate with healthcare, product, QA, and engineering stakeholders throughout requirements analysis, solution design, technical reviews, sprint planning, implementation, testing, documentation, and production delivery.

Python Developer Canara Bank January 2022 – December 2023

oDeveloped and maintained production-grade Python applications and backend services using FastAPI, Flask, and Django, applying object-oriented design, design patterns, clean coding practices, and scalable application architecture.

oDesigned RESTful APIs and microservices integrating internal and third-party systems with authentication, authorization, data validation, exception handling, API security, and asynchronous processing.

oBuilt scalable ETL and data-processing pipelines using Python, Pandas, NumPy, PySpark, Spark SQL, and Apache Spark to process large financial datasets for analytics and business applications.

oOptimized distributed data-processing workloads through partitioning, caching, parallel processing, memory optimization, and Spark performance-tuning techniques.

oDeveloped and supported Airflow-based workflows for automated data pipelines, scheduling, dependency management, and recurring data-processing workloads.

oDesigned and optimized data access across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, DynamoDB, and Redis, including complex SQL, data modeling, schema changes, migrations, caching, and query optimization.

oImplemented event-driven and distributed messaging solutions using Kafka to enable scalable communication and reliable data exchange across microservices.

oDeveloped cloud-native applications using AWS services including S3, EC2, Lambda, ECS, and EventBridge, with Docker and Kubernetes for application containerization and deployment.

oBuilt and maintained CI/CD workflows using Jenkins, GitHub Actions, Azure DevOps, Bitbucket, Artifactory, and Git to automate builds, testing, deployments, and release processes.

oContributed to AI/ML initiatives using Scikit-learn, TensorFlow, PyTorch, NLP, transformer-based models, and LLM APIs for intelligent automation and analytics use cases.

oSupported Java/Spring Boot services and frontend integrations using JavaScript, React, and Angular as part of enterprise application development.

oParticipated in requirements analysis, technical estimation, architecture discussions, proof-of-concept development, code reviews, production support, RCA, performance optimization, documentation, and Agile/Scrum ceremonies.

Python Developer HDFC ERGO General Insurance April 2020 – December 2021

oDeveloped Python backend applications using FastAPI, Flask, and Django supporting insurance policy, claims, customer, underwriting, and business-process workflows.

oDesigned RESTful and GraphQL APIs and microservices integrating internal applications and third-party systems with secure validation, exception handling, authentication, and authorization.

oBuilt ETL and data-processing pipelines using Python, Pandas, NumPy, PySpark, and Apache Spark for policy, claims, and customer data used in reporting and analytics.

oDeveloped data models and optimized database operations across PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, DynamoDB, and Redis, including complex queries, schema changes, migrations, caching, and performance tuning.

oImplemented asynchronous and event-driven processing using Python AsyncIO, Kafka, and messaging services to support reliable communication between distributed insurance applications.

oDeveloped and deployed cloud-based applications using AWS and Azure, leveraging Docker and Kubernetes for containerization and scalable application environments.

oSupported CI/CD automation using Jenkins, GitHub Actions, Azure DevOps, Git, Bitbucket, and Artifactory for automated testing, builds, deployments, and release management.

oContributed to AI/ML initiatives using Scikit-learn, PyTorch, TensorFlow, NLP, transformer models, and LLM APIs to support intelligent automation and insurance analytics.

oSupported Java/Spring Boot services and frontend integrations using JavaScript, React, and Angular for enterprise application enhancements.

oParticipated in requirements analysis, technical design, code reviews, Agile/Scrum ceremonies, troubleshooting, RCA, production support, documentation, and end-to-end SDLC delivery.

Jr. Python Developer/ Intern Nike, Bengaluru, India September 2019 – March 2020

oDeveloped Python-based web applications and backend services using Python, Flask, Django, REST APIs, HTML, CSS, and JavaScript to support retail business workflows.

oImplemented CRUD functionality and MySQL database integrations for product and customer data, including SQL queries, data validation, and schema updates.

oDeveloped and tested REST API endpoints and assisted with unit/integration testing, debugging, defect resolution, and application enhancements.

oUsed Git and Linux/Unix environments for software development, troubleshooting, documentation, and code-review activities.

oParticipated in Agile/Scrum ceremonies and collaborated with senior developers and QA teams on application development and testing.

oApplied foundational software engineering concepts including object-oriented programming, data structures, software design, and SDLC practices.

Education & Certifications

oMaster of Science in Computer Science from California State University, CA, USA.

oBachelor of Technology in Computer Science and Engineering from SRM Institute of Science and Technology, India.

Selected Areas of Expertise

Generative AI • LLM Applications • RAG • Agentic AI • AI Agents • Prompt Engineering • AI Evaluation • Vector Search • Semantic Search • Python Backend Engineering • Microservices • API Development • Distributed Systems • Data Engineering • Cloud Computing • AWS • Azure • Kubernetes • CI/CD • Apache Spark • Kafka • Production Engineering

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