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Harshitha Vemula
AI/ML Engineer | Full-Stack Python Developer | AWS & Azure Cloud | Generative AI, MLOps, Data Pipelines | Kafka, Databricks, FastAPI
Building Production-Ready AI Systems
I'm a Python and AI/ML engineer who enjoys building systems that actually work in production — not just in notebooks. Over the last 4+ years, I've worked across healthcare, fintech, and enterprise platforms, designing scalable APIs, ML pipelines, and cloud-native systems on AWS and Azure.
My work spans from data ingestion and model training to deployment, monitoring, and real-world optimization. Recently, I've been working extensively on Generative AI and MLOps, including GPT-based solutions, RAG pipelines, AWS Bedrock, SageMaker, and containerized ML deployments using Docker and Kubernetes.
Currently Open To
  • AI/ML Engineer roles
  • Senior Python Engineer
  • Data Engineer positions
  • Applied AI opportunities
Especially where ownership, scale, and real-world impact matter.
What I Bring to the Table
Production ML Pipelines
Designing production-ready ML pipelines that go beyond experiments, with proper validation, monitoring, and deployment workflows.
Python Backend Development
Building robust backends using Django, FastAPI, and Flask with RESTful APIs that scale.
Cloud-Native Architecture
Architecting cloud-native solutions on AWS and Azure with focus on scalability and reliability.
MLOps & DevOps
Implementing CI/CD, Docker, Kubernetes, and Terraform to automate deployments and infrastructure.
Data Engineering
Turning complex data into systems teams can actually rely on, with real-time pipelines using Kafka and Spark.
Current Role: AI/ML Engineer at UnitedHealth Group
July 2025 - Present
Chicago, IL
Designing and deploying production-grade ML pipelines for customer churn prediction and sentiment analysis using large-scale healthcare datasets. Building and maintaining MLOps workflows covering data validation, model training, evaluation, deployment, and monitoring.
API Development
Developed REST APIs using Django REST Framework to serve ML predictions to internal applications.
Data Pipelines
Implemented data pipelines with Pandas, Spark SQL, and cloud storage to ensure high-quality, reliable model inputs.
Containerization
Containerized ML services with Docker and collaborated with DevOps teams to deploy on cloud infrastructure.
Model Governance
Authored model documentation, data dictionaries, and model cards to support governance and explainability.
ServiceLink: Building Scalable AI Platforms
August 2024 - May 2025
Coraopolis, PA
Senior Full Stack Python Developer
Helped build a scalable AI platform using AWS Bedrock and SageMaker, reducing model deployment time by approximately 30%. Designed real-time data ingestion pipelines using Kafka, Lambda, and S3.
Automated data validation and schema checks using AWS Step Functions and Glue. Improved large-scale data processing performance using PySpark and Databricks.
01
Real-Time Ingestion
Built Kafka-based pipelines for streaming data
02
Data Validation
Automated quality checks with Step Functions
03
Processing at Scale
Optimized with PySpark and Databricks
04
Infrastructure as Code
Deployed using Terraform and Ansible
HCLTech: Full Stack Development Foundation
March 2021 - August 2023
Bengaluru, India
Developed Django REST APIs and Angular frontends for healthcare and fintech systems. Built ETL pipelines to process structured and semi-structured data including JSON and XML formats. Implemented CI/CD pipelines using Jenkins and Docker.
Full Stack Development
Built end-to-end applications with Django and Angular for enterprise clients
ETL & Data Processing
Created pipelines for structured and semi-structured data transformation
Container Orchestration
Deployed containerized applications to Kubernetes environments
Data Visualization
Built dashboards with Power BI and Tableau for stakeholder insights
Quality Assurance
Followed TDD practices to improve code quality and system reliability
Technical Expertise
Languages & Frameworks
Python, Django, FastAPI, Flask, Angular, Spark SQL, PySpark
Cloud Platforms
AWS (Bedrock, SageMaker, Lambda, S3, Step Functions, Glue), Azure
AI/ML & Data
MLOps, Generative AI, RAG pipelines, Kafka, Databricks, Pandas
DevOps & Infrastructure
Docker, Kubernetes, Terraform, Ansible, Jenkins, CI/CD
Data & Validation
JSON, XML, MySQL, ETL pipelines, Computerized System Validation (CSV)
Analytics & Visualization
Power BI, Tableau, statistical analysis, A/B testing
Education & Continuous Learning
1
Master's in Computer Science
University of Central Missouri
August 2023 - May 2025
2
Bachelor of Engineering
Gopalan College of Engineering & Management, Bangalore
Computer Science | August 2019 - May 2023
3
12th Grade - PCMC
Narayana Institute
May 2017 - March 2019
4
10th Grade - Science
Narayana Institute
March 2016 - April 2017
Professional Certifications
Web Development
Comprehensive full-stack web development certification
Front End Development - CSS
Advanced styling and responsive design techniques
Front End Development - HTML
Semantic markup and modern HTML standards
Python MySQL Programming
Database integration and data management with Python
Let's Connect
Ready to Collaborate
I'm currently open to conversations around AI/ML Engineer, Senior Python Engineer, Data Engineer, and Applied AI roles, especially where ownership, scale, and real-world impact matter.
Feel free to reach out — happy to connect and exchange ideas.
Phone: 913-238-8847
Location: Overland Park, Kansas, United States
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