I'm a Full Stack Developer (Generative AI) at Mastery Logistics Systems, where I build ML-driven solutions that optimize logistics operations. My journey started with curiosity about how technology can solve real problems. I've worked across healthcare, logistics, and AI domains, always focusing on scalable, performance-driven applications. I specialize in Python, React, AWS, and AI/ML technologies. I've built LLM-powered tools, RAG systems, and vector search solutions that improve operational efficiency. My experience includes developing HIPAA-compliant healthcare platforms, Kafka-based analytics pipelines, and cloud-native microservices. I believe great software comes from understanding both technology and people. My background has taught me resilience and adaptability, which I bring to every project. I'm passionate about building systems that make a real impact.
I have designed scalable, performance-driven applications across various domains, from optimizing logistics networks to improving healthcare systems.
However, I believe great software is more than just great code. It is about understanding people. It is about empathy.
Full Stack Developer (Generative AI)
Mastery Logistics Systems
Oct 2024 – Present
Atlanta, GA
AI-Powered Logistics Optimization
Built generative AI system for shipment scheduling and route planning with vector search for contextual retrieval. Integrated RAG pipelines with logistics microservices for real-time decision-making.
Document Intelligence & Summarization
Developed NLP platform to summarize shipment contracts and compliance documents using transformer-based models and RAG pipelines. Reduced manual review time by 55%.
LLM-Powered Logistics Tools
Built and maintained LLM-powered logistics reporting tools with LangChain, Pinecone, and FAISS, enabling context-aware search and document summarization.
Design and deploy ML-driven route optimization solutions, build LLM-powered logistics tools, and architect scalable GraphQL/REST APIs serving 500K+ daily requests.
Python, React, Node.js, GraphQL, REST APIs, AWS Bedrock, SageMaker, LangChain, Pinecone, FAISS, Docker, Kubernetes, GitHub Actions, Datadog, Grafana
Increased operational efficiency by 25%, saved $100K annually, reduced decision time by 60%, achieved 99.99% uptime for APIs.
Full Stack Developer
UPMC
Dec 2023 – Sep 2024
Pittsburgh, PA
HIPAA-Compliant Data Platform
Built secure data platforms with Django REST Framework serving 90K+ patients, implementing role-based access and audit trails.
Provider Reporting Modules
Developed React/Next.js reporting modules that improved provider satisfaction scores by 30%.
Built HIPAA-compliant data platforms with Django REST Framework for 90K+ patients and developed React/Next.js reporting modules.
Django, React, Next.js, Python, PostgreSQL, HIPAA compliance, role-based access, audit trails
Improved provider satisfaction scores by 30%, built secure data handling patterns to protect patient data.
Full Stack Developer
Cigna
Jan 2022 – Nov 2023
Overland Park, KS (Part-Time, Remote)
Kafka Analytics Pipeline
Developed Kafka-based analytics pipelines and integrated DynamoDB for sub-50ms query latency.
Healthcare App Optimization
Improved healthcare app performance by 20% and increased adoption by 15% through targeted optimizations.
Developed Kafka-based analytics pipelines, integrated DynamoDB for sub-50ms query latency, and improved healthcare app performance.
Apache Kafka, DynamoDB, AWS, Jenkins, performance optimization, unit/integration testing
Improved healthcare app performance by 20%, increased adoption by 15%, reduced post-release bugs through testing and refactoring.
Web Developer
Tech Mahindra
Jan 2021 – Dec 2021
India
Vue.js Component Library
Rebuilt legacy frontend into reusable Vue.js component library, modernizing the UI and improving load speed by 20%.
Automated Testing Pipeline
Implemented Selenium/Jenkins pipelines, reducing post-release defects by 25%.
Rebuilt legacy frontend into reusable Vue.js component library and implemented Selenium/Jenkins pipelines.
Vue.js, Selenium, Jenkins, component library, legacy system modernization
Modernized UI, improved load speed by 20%, reduced post-release defects by 25% through automated testing.
Master of Science in Computer Science
University at Buffalo, SUNY
Jan 2022 – May 2023
Buffalo, NY, USA
Graduate Teaching Assistant, Machine Learning with Search Engines
Machine Learning, Deep Learning, Advanced NLP, Search Engines, ML for Large Datasets, Multimodal ML, Computer Vision
Intelligent Visual Search Engine using multimodal AI and Elasticsearch
Bachelor of Technology in Computer Science
K L University
May 2017 – Apr 2021
Vijayawada, India
Student
Computer Science fundamentals, programming, algorithms, data structures
Foundation in software development and computer science principles
Made with Angular + Tailwind; AI by LLMs/RAG
@Sampath Garimella 2025