Python Developer - Django - FastAPI - RESTful APIs

Saikumar Tejavath

Software Developer

Phone: +1-754-***-**** Email: ******************@*****.*** Location: Plantation, FL – 33324 linkedin.com

SUMMARY

Detail-oriented Python Developer with 3 years of experience building scalable web applications and APIs using Django, Flask, and FastAPI.

Skilled in Python, RESTful API development, PostgreSQL, MySQL, MongoDB, and integrating front-end technologies (HTML, CSS, JavaScript).

Proficient in Git, Docker, Jenkins, and AWS (EC2, S3, Lambda). Experienced in Agile environments, test-driven development (TDD), and CI/CD

pipelines. Passionate about writing clean, efficient code and solving real-world problems.

SKILLS

Languages & Scripting: Python, JavaScript (ES6+), HTML5, CSS3, SQL

Frameworks & Libraries: Django, Flask, FastAPI, Pandas, NumPy, Pytest, React.js

Databases & Cloud: PostgreSQL, MySQL, MongoDB, SQLite, AWS (EC2, S3, Lambda, RDS, CloudWatch), Azure, Heroku

Tools & DevOps: Git, GitHub, GitLab, Docker, Jenkins, GitHub Actions, Postman, Swagger/OpenAPI, VS Code, Jupyter Notebook

Development Practices: RESTful API Development, Microservices Architecture, CI/CD Pipelines, Agile & Scrum, TDD, OOP, SDLC,

Containerization, Logging & Monitoring, JIRA, Confluence

EXPERIENCE

Software Developer Coforge, NJ, USA May 2025 – Present

Designed and implemented microservices-based architectures using Python (Django, Flask), facilitating seamless integration with frontend

frameworks and external APIs, and enabling a 50% improvement in system responsiveness.

Architected and optimized high-performance RESTful APIs, leveraging FastAPI and Celery for asynchronous processing, handling millions of

requests per day while ensuring low latency and error-free communication.

Optimized database interactions using PostgreSQL, Redis caching, and efficient SQL queries-achieving improvement in data retrieval times-while

utilizing SQLAlchemy and Alembic for streamlined ORM management and migrations.

Developed robust, scalable cloud-native solutions using AWS services (EC2, Lambda, RDS, S3), leveraging serverless architecture to reduce costs

by 30% while ensuring high availability and scalability.

Championed Agile practices and pair programming, driving continuous improvements in code quality and team collaboration, and ensuring code

coverage using PyTest and automated testing with Selenium for full-stack validation.

Full Stack Developer HCL Tech, India Aug 2021 – Nov 2023

Implemented Python- based data integration pipelines to automate seamless data exchange between multiple enterprise systems, including CRM,

logistics, and e-commerce platforms, improving business process efficiency and data accuracy.

Developed and maintained complex ETL workflows using Python libraries such as pandas, requests, and SQLAlchemy, enabling secure and reliable

real-time and batch data processing across diverse platforms.

Created reusable data transformation modules with Python scripting, enhancing data mapping and validation processes, reducing manual effort, and

improving data quality.

Implemented secure API authentication mechanisms including OAuth 2.0 and certificate-based authentication within Python services to ensure data

protection and compliance with enterprise security standards.

Utilized Python’s logging framework and monitoring tools like Sentry for advanced error tracing and debugging, leading to faster issue resolution

and minimized downtime in production environments.

Developed microservices architecture for an e-commerce platform using FastAPI and Flask, enabling modular service development and independent

deployment of key components including Product, Order, and User Management services.

Designed and implemented RESTful APIs for seamless inter- service communication, integrated services using API Gateway (e.g., Kong or custom

gateway) to enable centralized routing, load balancing, and request management.

Secured microservices endpoints by implementing JWT- based authentication and OAuth 2.0 authorization, with Role-Based Access Control (RBAC)

to distinctly manage access levels for customers, admins, and vendors.

Utilized SQLAlchemy ORM for efficient object-relational mapping and managed CRUD operations on PostgreSQL database, enhanced query

performance with indexing strategies and optimized lazy/eager loading to reduce latency.

Engineered scalable, event- driven microservices with asynchronous messaging with RabbitMQ, containerizing services with Docker, and

orchestrating deployments on Kubernetes clusters for high availability, reliability, and streamlined CI/CD.

EDUCATION

M.S. in Information Systems – Nova Southeastern University, FL Jan 2026 (Expected)

Sreenidhi Institute of Science & Technology, India – B. Tech in Information Technology Sep 2022

CERTIFICATIONS

Microsoft Office Specialist: Excel Certification LinkedIn Issued Jan 2025

Problem Solving Hacker Rank Issued Jan 2025

Python Hacker Rank Issued Jan 2025

SQL Hacker Rank Issued Jan 2025

PROJECTS

Crime Rate Prediction Website: Crime Rate Prediction Website (Minor Project)

Developed a machine learning-powered web application to predict crime rates based on statistical models.

Implemented data preprocessing, feature engineering, and predictive analytics using Python and relevant ML frameworks. Designed an intuitive user

interface for data input and visualization of crime trends.

Suspicious Activity Detection (Major project)

Developed a web-based app integrating CCTV surveillance with AI-powered algorithms to detect and analyze suspicious activities in real-time.

Utilized computer vision and ML techniques to enhance security in public and private spaces, providing automated alerts and threat assessment.

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