CHEBOLU SAI NIRANJAN
Software Development EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Development Engineer with 1+ years in Mobile, Web, and Cloud-Native Applications
Software Development Engineer with hands-on experience building scalable mobile, web, and cloud-native applications using Flutter, React.js, Node.js, AWS, and DevOps technologies. Experienced in Android/iOS deployment, cloud infrastructure management, CI/CD automation, and full-stack product development. Co-founded and built Chitralai, an AI-powered media-sharing platform leveraging facial recognition and serverless cloud architecture.
Indian Institute of Technology Bhubaneswar
Bachelor of Technology · Electronics and Telecommunication Engineering
November 20, 2022 – June 30, 2026
Centroxy
Associate Software Development Engineer
March 1, 2026 – Present
Bhubaneshwar, Odisha, India
Chitralai
Co-Founder & Software Engineer
January 1, 2025 – March 1, 2026
India
Headstarter AI
Software Engineering Fellow
July 1, 2024 – October 1, 2024
India
Tata Power EZ Homes Mobile Application
March 1, 2026 – Present
Developed production-grade mobile applications supporting smart home and energy management systems. Implemented API integrations, authentication, push notifications, real-time device communication, and app deployment workflows. Managed Android and iOS releases including App Store and TestFlight distributions.
Chitralai AI-Powered Media Sharing Platform
January 1, 2025 – March 1, 2026
Developed a facial-recognition-based media-sharing platform enabling event attendees to securely discover and access event photos. Built scalable serverless infrastructure using AWS Lambda, S3, DynamoDB, API Gateway, CloudFront, and Rekognition. Implemented secure authentication, cloud storage, and automated deployment pipelines.
Attendance Intelligence System
October 1, 2024 – January 1, 2025
Developed an AI-powered attendance platform using facial recognition and computer vision technologies. Integrated AWS Rekognition for identity verification and automated attendance tracking. Achieved high recognition accuracy across large face datasets.
Software Engineering Essentials (IBM)
IBM
June 1, 2026 – Present
Responsible AI with Google Cloud
Google Cloud
June 1, 2026 – Present
Anthropic Claude Code in Action
Anthropic
June 1, 2026 – Present
Full Stack Web Development
Unknown
June 1, 2026 – Present
AWS Cloud Practitioner (In Progress)
AWS
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
DevOps Foundations
Unknown
June 1, 2026 – Present
Docker and Kubernetes Essentials
Unknown
June 1, 2026 – Present
Introduction to Software Engineering (IBM)
IBM
June 1, 2026 – Present
Cloud Computing Fundamentals
Unknown
June 1, 2026 – Present
Achieved 95% on the 'Application Developer — Experience Frontend (React/TypeScript)' test, indicating a strong grasp of the core concepts and practical application in frontend development.
Strengths
Cultural Fit Analysis
The candidate's diverse project portfolio, including an AI-powered media-sharing platform and smart home applications, demonstrates adaptability and a broad interest in technology. Their entrepreneurial background and involvement in various certifications (AI, Cloud, DevOps) show a proactive learning attitude and a drive for innovation. The experience with both personal and professional projects, coupled with leadership activities, indicates a candidate who is likely to be a self-starter and a team player, aligning well with a dynamic, growth-oriented culture.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and Technical Lead at Chitralai, along with leadership roles in student organizations, suggests strong initiative, problem-solving, and cross-functional collaboration skills. The descriptions of managing deployment workflows, monitoring, and post-release maintenance indicate a good operational fit for a senior role requiring end-to-end responsibility. The psychometric test score of 369/500 suggests a reasonable work attitude and stress handling, though there's room for improvement.
Limitations