Full-Stack Python AI/ML Engineer with Cloud Expertise

HARSHITHA VEMULA

Overland Park, Kansas ****************@*****.*** 913-***-**** www.linkedin.com/in/harshitha-vemula-a03a05239

Full Stack Python Developer AI/ML Engineer Cloud Specialist (AWS& Azure) Generative AI nthuEsiast

PROFESSIONAL SUMMARY

Highly skilled and results-oriented Full Stack Python Developer with over 3 years of experience in designing, developing, and deploying robust web applications and microservices. Proven expertise in Python frameworks like Django and Flask, coupled with strong proficiency in building RESTful APIs using FastAPI. Extensive experience across cloud platforms including AWS and Azure, with a strong foundation in Artificial Intelligence and Machine Learning, including Generative AI (GPT, GANs, RAG), MLOps, and various database technologies (SQL and NoSQL). Adept at optimizing performance, implementing security best practices, and collaborating in fast-paced, data-driven environments.

TECHNICAL COMPETENCIES

Programming Languages: Python3, NodeJS, C#, PHP, C, C++, JavaScript, HTML5, CSS3/5, XML

Python Frameworks: Django, Flask, FastAPI, WebApp2, Bottle

Web Technologies: REST, SOAP, HTML5, CSS, Angular, React JS, Redux, Node.js, Express.js

Cloud Platforms: AWS, Azure

Databases: PostgreSQL, MySQL, MongoDB, Oracle, Cassandra, Redis, SQLite, SQL Server, SQL Azure, CosmosDB, CouchDB, DynamoDB

Data Tools & Streaming: Apache Kafka, PySpark, Databricks, SSIS, Power BI, SSRS, Tableau, Splunk, Apache Airflow

DevOps & CI/CD: Jenkins, Docker, Kubernetes, OpenShift, Terraform, Azure DevOps, Concourse CI/CD, Ansible

Testing & Debugging: Pytest, Jest, Postman, JMeter, JIRA

Version Control: Git

PROFESSIONAL EXPERIENCE

ServiceLink, Coraopolis, PA AI/ML/Python Developer Aug 2024 – May 2025

Engineered a scalable AI Platform leveraging AWS Bedrock and Sage Maker, enabling data scientists to reduce model deployment time by an estimated 30%.

Implemented a robust data ingestion pipeline from Kafka to AWS S3 using AWS Lambda, ensuring a 99.9% data availability for downstream AI/ML applications and supporting real-time data analysis.

Mechanized schema discrepancy checks between RDS and Glue Catalog using AWS Step Functions, reducing manual data validation efforts by 80% and improving data quality for analytics.

Optimized PowerShell scripts to streamline data processing within Databricks and Power BI, leveraging PySpark to improve large-scale data transformation speeds by 40%.

Utilized Terraform to build and manage infrastructure for data pipelines, which reduced deployment time for new AI/ML workloads from weeks to days.

Enhanced data processing and increased third-party integration efficiency by 15% by implementing RESTful APIs and developing web apps with the Django framework.

Leveraged PostgreSQL, Oracle, MongoDB, and other NoSQL databases, supporting the storage of millions of transactional and unstructured datasets for fintech and AI-driven applications.

Used RxJS Observables for handling asynchronous data streams in real-time UI updates and optimized Angular builds using NPM and Webpack, reducing load time by 20%.

Applied PyTest, Jest, and Selenium for automated testing, achieving over 90% test coverage and reducing regression defects by 25% across key applications.

Designed real-time ingestion pipelines with Kafka, Databricks, and AWS S3, which assisted streaming analytics and enabled decision-making for fintech insights with sub-second latency.

Collaborated in an Agile Scrum environment, participating in sprint planning, backlog refinement, and business analysis sessions with stakeholders to deliver features on schedule.

Applied NLP techniques in Python and R for text analytics, developing statistical models with SAS that improved business intelligence reporting accuracy by 10%.

Computerized cloud resource provisioning and configuration management with Terraform and Ansible, streamlining deployments on Linux/CentOS servers and reducing manual configuration errors by 95%.

Supported ERP system integration by developing Python connectors and REST APIs, which boosted data synchronization speed and reduced data latency between systems.

HCL, Bengaluru, India Jr. Full Stack Python Developer March 2021 – Aug 2023

Planned and executed Django RESTful APIs to process patient data, appointment records, and lab results, improving data processing efficiency by 30%.

Developed Django REST APIs and Angular frontends for healthcare and fintech applications, with 99.9% availability and safe data handling.

Initiated and developed Angular-based dashboards with reusable components and drill-down reports, enhancing data visualization for internal applications and reducing reporting time by 25%.

Applied Angular services to integrate with backend REST APIs, ensuring smooth data flow across 10+ modules.

Built ETL pipelines with Python, parsing XML/JSON, and loading structured data into Oracle and PostgreSQL databases, maintaining HL7/FHIR compliance for all healthcare data.

Enforced Test Driven Development practices using PyTest, Robot Framework, and Selenium, which increased code reliability and reduced bug-fix cycles by 20%.

Computerized deployments and build processes with Jenkins CI/CD pipelines integrated with Git, reducing manual deployment time from hours to minutes.

Built authentication and authorization modules, enabling HIPAA-compliant and fintech-ready access management systems that over 1000 users.

Generated containerized applications with Docker and deployed them to Kubernetes clusters on a private cloud, improving application scalability and portability.

Applied R and Python for building machine learning models that refined claims analysis accuracy by 15%.

Configured application servers on Linux/CentOS and scripted deployments using Fabric and Ansible, streamlining environment provisioning for 5+ different development environments.

Conducted business analysis sessions with clients to gather requirements and design data flows, ensuring ERP integration points were aligned with enterprise systems and reducing data discrepancies by 10%.

Developed reporting dashboards with Power BI, Tableau, and SAS, providing critical insights to stakeholders in finance and healthcare domains, which informed key business decisions.

EDUCATION

Master of Science in Computer Science University of Central Missouri GPA: 3.7

Bachelor’s in computer science Gopalan college of Engineering and Management, Bengaluru, India GPA: 3.73

Contact this candidate