Abhishek Savaliya
Shawnee, KS +1-947-***-**** ********.********@******.*** LinkedIn GitHub
Summary
Versatile Python Developer with 2.5 years of expertise in ML/AI, Full Stack Development, and Cloud Services. Skilled in building RESTful APIs, deploying AI-driven chatbots
(OpenAI GPT-4), and optimizing real-time streaming pipelines with Kafka and AWS. Proficient in containerizing microservices with Docker and Kubernetes (EKS), and automating CI/CD pipelines with Jenkins. Strong background in Django, FastAPI, and ML models (TensorFlow, scikit-learn), delivering predictive analytics and improving system performance by 30%. Expertise in security protocols and ensuring compliance in financial applications. Technical Skills
Programming & Development: Java, Python, C++, JavaScript, HTML5, CSS3, Django, Spring Boot, FastAPI, Jinja2, asyncio, Slack SDK, React API Development & Web Technologies: RESTful APIs, Mobile-First Design, AJAX, Event Handling, DOM Manipulation, Cross-Browser Compatibility, OAuth2, JWT Authentication
Cloud Computing & DevOps: AWS (EC2, RDS, S3, Lambda, CloudWatch), Docker, Kubernetes (EKS), Jenkins, GitHub Actions, CI/CD, Bash, AWS Secrets Manager, AWS Lambda
Database Management & Data Streaming: PostgreSQL, Redis, Kafka, Real-time Data Processing, SQL-based Analytics, Asynchronous Task Execution System Optimization & Performance Tuning: Low-Latency System Design, Caching, Indexing, API Response Time Optimization, System Alerts, Dashboard Creation, Transaction Parsing Optimization
AI & ML Technologies: Machine Learning (ML) Models: scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, LangChain, OpenAI GPT-4 API, Custom Model Training & Deployment, ML Algorithm Integration, Predictive Analytics, Risk Insights, Natural Language Processing (NLP), Predictive Modeling Agile & Version Control: Agile Sprints, Git, Version Control, Unit Testing (pytest), Collaboration with DevOps & SRE Teams UI/UX Design & Frontend Development: Responsive UI Design, User Experience Optimization, Jinja2 Templates, Mobile-First Design, Cross-Browser Compatibility, Real- Time Data Processing Integration
Experience
Python Developer ML & Cloud Services
JP Morgan USA May 2024 – May 2025
• Developed and maintained RESTful APIs using Java (Spring Boot) and Python (FastAPI), integrating ML models to improve response times by 30% and provide intelligent, real-time Slack-based developer assistance.
• Built and deployed a secure Slack chatbot using Python, Slack SDK, and OpenAI GPT-4 API, utilizing ML-driven NLP models to assist 500+ developers with Athena API queries, SQL generation, and Python troubleshooting.
• Engineered real-time streaming pipelines with Kafka, Java, and Python, processing 10M+ daily transactions and using ML algorithms for predictive analytics and risk insights via chatbot and dashboards.
• Containerized ML microservices with Docker, deployed to AWS Lambda and Kubernetes (EKS), optimizing scalability and uptime for ML model inference with 99.999% SLA.
• Automated CI/CD pipelines with Jenkins, GitHub Actions, and Bash scripts, integrating ML model updates and scaling with AWS CloudWatch and Lambda, reducing deployment errors by 40%.
• Developed low-latency components in C++ and Java, reducing transaction parsing latency by 40% and optimizing ML inference times for high-frequency financial applications.
• Implemented JWT-based OAuth2 authentication, built unit tests with pytest, and ensured compliance and security across ML-powered microservices in collaboration with DevOps.
Python Developer Full Stack & ML/AI
Version 1, India Jul 2022 – Jun 2023
• Developed backend services using Django (Python), RESTful APIs, and integrated ML models (scikit-learn, TensorFlow) for data-driven insights and predictions.
• Implemented Jinja2 templates for dynamic content rendering and integrated AI algorithms for personalized user experiences and content recommendations.
• Built responsive UI with HTML5, CSS3, JavaScript (React), ensuring mobile-first compatibility, and utilized Python AI services for real-time data processing.
• Optimized UI interactivity with JavaScript event handling, improving load times by 30%, and incorporated Python-based ML models for predictive analytics.
• Ensured cross-browser compatibility (Chrome, Firefox, Safari), integrating Python AI solutions for dynamic content adjustments based on user behavior.
• Collaborated in Agile sprints, utilizing Git/GitHub for version control, and deployed Python ML models for real-time predictions, increasing team productivity by 20%.
• Optimized machine learning workflows using Pandas, NumPy, and SciPy for efficient data processing and model deployment. Python Developer internship
Vasundhara infotech LLP Gujarat, India Dec 2021 – Jun 2022
• Built and maintained Django web apps, implementing RESTful APIs, CRUD operations, and optimizing SQL queries for better performance.
• Designed Jinja2 templates for dynamic content rendering, enhancing UI responsiveness and improving cross-browser compatibility.
• Wrote modular, scalable Python code following PEP 8 standards, leveraging MVT architecture for efficient web application development.
• Assisted in debugging, profiling, and performance tuning, improving efficiency using caching, indexing, and asynchronous task execution.
• Collaborated in Agile development, contributing to feature development, unit testing, and version control using Git and GitHub. Education
Master of Science in Computer Science May 2025
Cleveland State University GPA: 3.97 Cleveland, OH B.Tech, Computer Engineering June 2022
CGPIT, Uka Tarsadia University GPA: 3.34 Gujarat, India Projects
Brand Polis (Ecommerce website) Django Framework, MySQL Spring 2022
• Developed Brand Polis, a Django-based e-commerce platform with secure authentication and cart management, supporting 1,000+ transactions.
• Built an admin dashboard for managing 500+ products, 1,000+ orders, and 5,000+ users, integrating role-based access control (RBAC) for security.
• Implemented real-time search and category-based filtering, improving product discovery by 40% and reducing bounce rate by 25%.
• Optimized SQL queries, indexing, and caching, reducing database response time by 35% and improving site speed.
• Integrated sales analytics and revenue tracking, enabling admins to track daily, weekly, and monthly sales trends. Chat Application Android, Firebase Fall 2021
• Built a peer-to-peer chat app using Android & Firebase, handling 100,000+ messages with real-time cloud storage and secure authentication.
• Integrated push notifications (FCM) for instant message alerts, increasing user engagement by 50%.
• Implemented file sharing (images, videos, docs) and a friend request system, improving user retention by 30%.
• Optimized UI/UX with Material Design, reducing app load time by 20% and enhancing accessibility. Furniture Selling Website WordPress Spring 2021
• Built a Furniture Selling Website using WordPress & WooCommerce, listing 200+ products with secure real-time payments.
• Enabled seamless cart management, increasing checkout conversion rates by 35%.
• Integrated coupon system and discount logic, boosting sales by 20%.
• Automated UI testing with Selenium (Python), improving website reliability by 95%. Animals Kingdom Application Android Spring 2021
• Developed an interactive educational app for kids, featuring 50+ animal species with category-based selection and multimedia content.
• Designed an engaging UI with rich visuals, increasing child engagement time by 40% and improving learning retention. Certifications
• Software Engineering Job Simulation
• Python Basics for Data Science
• Basic Image Classification with TensorFlow