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Python Engineer with less than a year in Backend Development & AI/ML
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Assessing your cultural and operational fit
AI/ML and Software Engineering undergraduate with strong hands-on experience in Python (Advanced), REST API development, and backend web application engineering. Proficient in Flask and FastAPI with working knowledge of Django and Django REST Framework (DRF) for building CRUD applications and scalable RESTful endpoints. Experienced with MySQL/PostgreSQL database design, JWT-style authentication, and API endpoint testing via Postman. Published IEEE researcher with a proven track record of shipping production-grade backend systems end-to-end under tight deadlines. A collaborative team player with a willingness to learn new technologies and a strong problem-solving aptitude eager to contribute to backend development within a cross-functional engineering team.
Chandigarh Group of Colleges, Jhanjeri, Mohali
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2027
Kendriya Vidyalaya Bailey Road, Patna
Senior Secondary (XII)
N/A – May 31, 2023
Kendriya Vidyalaya Bailey Road, Patna
Secondary (X)
N/A – May 31, 2022
Crop Yield Prediction Tool Full-Stack ML Web Application
June 1, 2026 – Present
Engineered a complete backend system with RESTful API inference endpoints built in Python (Flask/FastAPI), handling concurrent requests at low latency; designed and tested all CRUD operations and API endpoints via Postman, performing systematic regression testing before each deployment. Implemented Dockerized deployment and maintained disciplined Git/GitHub version control with branch-based CI/CD workflows; integrated AI-assisted development practices for debugging and code review, achieving an 18% model accuracy improvement alongside comprehensive technical documentation.
View ProjectCardioVision AI Heart Disease Prediction & Analytics Platform
June 1, 2026 – Present
Built a modular backend application integrating data ingestion, Gradient Boosting inference via RESTful API endpoints, real-time visualization, and secure MySQL database management on 3,000+ patient records with full CRUD functionality; validated all API responses through Postman testing, unit testing, and edge-case debugging across 14 clinical parameters. Achieved ~91% AUC-ROC; maintained sustained code quality through integration testing and regression testing, with Git/GitHub-tracked development history demonstrating disciplined software engineering practice.
View ProjectOptimal Irrigation Network Design Graph-Based Optimization
June 1, 2026 – Present
Implemented Kruskal's and Prim's MST algorithms on weighted graphs with 100+ nodes using Python, reducing estimated infrastructure cost by 22%; demonstrated strong Python problem-solving and engineering judgment in selecting the right algorithmic approach. Validated algorithmic correctness through structured unit testing and edge-case debugging; maintained code quality and systematic documentation throughout all version-controlled via Git/GitHub.
View ProjectFloodTrack 2025 Real-Time Distributed Monitoring & Alert System
June 1, 2026 – Present
Architected a full-stack distributed backend featuring live data submission APIs, real-time status tracking, geolocation-aware alerting, and a reactive user-facing interface; designed scalable RESTful endpoints with JWT-based authentication and Redis caching to optimize response time and reduce backend load. Executed comprehensive cross-component integration testing across ingestion, processing, and notification subsystems using Postman; delivered all core backend features 20% ahead of deadline within a 48-hour Agile sprint, demonstrating strong adaptability and problem-solving under time pressure.
View ProjectGenerative AI Foundations
AWS Academy Graduate
January 1, 2026 – Present
Data Engineering
AWS Academy Graduate
January 1, 2026 – Present
Data Analyst Internship
Oasis Infobyte
October 1, 2025 – Present
Data Analyst Job Simulation
Deloitte Australia
August 1, 2025 – Present
Communication Skills
IBM SkillBuild
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from full-stack ML applications to graph-based optimization and real-time distributed systems, indicates a broad interest and adaptability. Their participation in hackathons and competitive coding events, along with peer-reviewed research, suggests a proactive and collaborative mindset. The focus on backend Python engineering aligns well with the target role, and their continuous learning (AWS certifications, Kubernetes learning) shows a growth-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving aptitude, team collaboration, and a willingness to learn new technologies, which are crucial for operational fit. Their experience in Agile sprints and systematic documentation also indicates good operational practices. The IBM SkillBuild certification in Communication Skills further supports their ability to communicate effectively within cross-functional teams.