Ritesh Chenigam
Full Stack Software Engineer • United States • r**************@gmail.com • linkedin.com/•••••
Professional Summary
Full Stack Software Engineer with 5 years of experience designing and developing AI-enabled enterprise applications using Python, FastAPI, React, Angular, Next.js, REST APIs, Cloud technologies, and Generative AI. Reduced regulatory document review time by 45% through AI-powered automation while delivering scalable, secure, and high-performance solutions across healthcare, telecom, IT services, and advertising domains. Proven expertise in building cloud-native, data-driven applications that accelerate digital transformation, optimize business operations, and enhance enterprise productivity.
Technical Skills
Programming Languages: Python,JavaScript,TypeScript
Frontend Technologies: React,Angular,Next.js,HTML,CSS,Tailwind CSS,Material UI
Backend Technologies: Node.js,Express.js,REST APIs,GraphQL
State Management: Redux Toolkit,Context API,NgRx,RxJS
Databases: SQL,PostgreSQL,MySQL,MongoDB
Cloud & DevOps: AWS,Docker,CI/CD,GitHub Actions
Libraries & Frameworks: NumPy,Pandas,Scikit-learn,TensorFlow,PyTorch
Generative AI & LLMs: OpenAI API,Hugging Face Transformers,Prompt Engineering,Retrieval-Augmented Generation
Testing & Quality Assurance: Jest,Cypress,Playwright
Version Controls & Methodologies: Git,Storybook,Figma,Scrum,Kanban
Work Experience
Johnson & Johnson
United States
Full Stack Software Engineer
Feb 2026 – Present
Tech Stack: Python, FastAPI, Azure OpenAI, Docker, GitHub Actions, Microservices, REST APIs, CI/CD, React.js
- Developed AI-enabled enterprise applications using Python to automate pharmaceutical quality and compliance workflows, reducing manual processing time by 35% across manufacturing operations.
- Built scalable backend services using FastAPI to integrate manufacturing, inventory, and supply chain systems, improving application performance and operational efficiency.
- Optimized AI-powered document review interfaces using React.js and Azure OpenAI, enabling intelligent data extraction and streamlining compliance validation workflows.
- Collaborated with cross-functional stakeholders across quality, manufacturing, and regulatory teams to deliver enterprise healthcare solutions, ensuring on-time project delivery.
- Implemented secure containerized microservices using Docker for enterprise healthcare applications, reducing deployment time by 30% while improving environment consistency.
- Automated software delivery pipelines using GitHub Actions to streamline build and deployment processes, reducing deployment effort by 40% and improving release reliability.
Tata Consultancy Services
Software Engineer
Jul 2024 – Jan 2026
Tech Stack: Python, FastAPI, REST APIs, Azure OpenAI, Generative AI, Microservices, Cloud-Native Architecture, Agile
- Engineered AI-powered enterprise applications using Python to automate complex client business workflows, streamline operational processes, and enhance the efficiency of enterprise software solutions across many business functions.
- Developed scalable backend services using FastAPI to support enterprise digital transformation initiatives, integrate business-critical applications, and improve application performance by 35% while ensuring reliable service delivery.
- Optimized API performance by implementing AI-assisted request processing and backend enhancements, enabling faster data exchange, improving application responsiveness, and supporting high-volume enterprise workloads.
- Collaborated with cross-functional Agile teams, including business analysts, QA engineers, and solution architects, to deliver enterprise software solutions that aligned with client requirements and organizational quality standards.
- Implemented secure cloud-native microservices using Azure OpenAI to enable AI-driven automation, simplify enterprise business processes, and improve the scalability and maintainability of production applications.
- Integrated Generative AI capabilities into enterprise applications to automate document processing, generate contextual business insights, and increase developer productivity by 30% through intelligent automation and AI-assisted development.
AT&T
Full Stack Developer
Aug 2023 – Jun 2024
Tech Stack: Python, FastAPI, Redis, Docker, Microservices, REST APIs, Cloud-Native Architecture, Agile
- Architected AI-powered customer support applications using FastAPI to automate telecom service requests and virtual assistance, reducing average issue resolution time by 35%.
- Engineered secure backend services using Python for customer account management, billing, and service provisioning, enabling reliable processing of high-volume enterprise telecom transactions.
- Optimized application performance by implementing Redis caching for accessed customer and network data, improving API response time by 45%.
- Orchestrated Agile delivery by collaborating with cross-functional product, QA, and network engineering teams across enterprise customer experience initiatives, ensuring release of business-critical applications.
- Implemented cloud-native microservices using Docker to standardize application deployment across enterprise environments, improving deployment efficiency and reducing operational overhead.
DataBeat
Software Engineer
May 2020 – Aug 2022
Tech Stack: Python, FastAPI, REST APIs, PostgreSQL, Docker, Agile
- Architected scalable backend applications using Python for advertising analytics platforms, processing over 4 million ad events monthly while improving revenue reporting accuracy.
- Designed REST APIs using FastAPI to integrate publisher data and campaign metrics, enabling secure data exchange across Ad Operations and analytics platforms.
- Accelerated high-volume data processing by optimizing asynchronous workflows with PostgreSQL, reducing API response time by 38% and improving analytics performance.
- Spearheaded Agile product delivery with a team of software engineers and product managers, achieving sprint completion across many platform releases.
- Orchestrated containerized application deployments using Docker, reducing deployment time by 45% while improving release consistency and operational efficiency.
Education
Southern Illinois University
Master of Science in Computer Science • Aug 2022 – Dec 2023
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