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Software Engineer with less than a year in AI/ML & Full Stack Development
Final-year B.Tech student in Artificial Intelligence & Data Science with hands-on experience building production-oriented systems across machine learning, deep learning, backend API engineering, and full-stack development. Proficient in Python, Java, FastAPI, Spring Boot, TensorFlow, PyTorch, and React.js. Demonstrated ability to design concurrency-safe RESTful APIs, engineer end-to-end ML pipelines for anomaly detection and computer vision, and deploy cloud-hosted applications. Seeking fresher-level opportunities in Software Engineering, Backend Development, AI/ML Engineering, or Data Analytics.
Mohamed Sathak AJ College of Engineering, Chennai
B.Tech · Artificial Intelligence & Data Science
September 1, 2022 – May 1, 2026
Evoulth Digital Pvt Ltd
Web Development & Digital Marketing Intern
January 1, 2023 – March 31, 2023
India
AI-Based Anomaly Detection System
June 18, 2026 – Present
Problem: Traditional signature-based intrusion detection systems fail to identify novel zero-day attacks due to reliance on known threat patterns. Solution: Architected an unsupervised ML pipeline combining Isolation Forest and Autoencoder models on the KDD Cup 1999 dataset to detect anomalous network traffic without labeled attack data. Engineered a multi-stage preprocessing pipeline — feature encoding, normalization, and noise reduction across 41 network attributes — improving model accuracy and convergence speed. Impact: Evaluated using Precision, Recall, F1-Score, and Accuracy metrics; deployed a real-time interactive Streamlit web application enabling live anomaly prediction on uploaded network data.
Inventory Order Management System
June 18, 2026 – Present
Problem: E-commerce systems risk overselling limited stock when multiple users submit simultaneous purchase requests, leading to data inconsistency and poor user experience. Solution: Developed a production-grade RESTful backend using FastAPI and PostgreSQL implementing row-level locking (SELECT FOR UPDATE / with_for_update()) to serialize concurrent order transactions. Implemented idempotency key handling to prevent duplicate order creation on retried API requests; enforced structured request validation using Pydantic schemas throughout the API layer. Impact: Achieved zero oversell incidents under concurrent load testing; deployed live on Render with Neon cloud PostgreSQL; validated via Swagger documentation and Postman test suites.
Shopping Mall Management System
June 18, 2026 – Present
Problem: Retail management platforms require reliable, performant APIs to synchronize customer data, store inventory, and cross-team workflows without integration errors. Solution: Designed and implemented 15+ RESTful API endpoints using Spring Boot for customer and store data management; integrated with an Angular frontend ensuring consistent data flow and sub-200ms response times. Conducted end-to-end QA testing using Postman, identifying and resolving 10+ critical API defects; defined an API contract that eliminated cross-team integration issues during development. Impact: Delivered a fully tested, contract-driven full-stack application with validated backend performance and zero post-integration API regressions.
Responsive Restaurant Web Application
June 18, 2026 – Present
Problem: Restaurant websites typically suffer from slow load times, broken layouts on mobile, and Safari/iOS rendering bugs that degrade user experience across devices. Solution: Built a multi-module React.js application implementing lazy loading, CSS Grid auto-fill layouts, and -webkit- CSS prefix fallbacks to ensure cross-browser compatibility. Resolved Safari/iOS-specific rendering inconsistencies and conducted structured QA across Chrome, Firefox, Safari, and mobile viewports to validate pixel-accurate responsiveness. Impact: Achieved measurably improved page load performance via lazy loading and pixel-accurate rendering across all major browsers and screen sizes.
Java Full Stack
TNS Foundation
June 1, 2026 – Present
MERN Full Stack
Revamp Academy
June 1, 2026 – Present
IBM Career Education Program
CognitiveClass | IBM
June 1, 2026 – Present
Power BI
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of technical interests, from backend engineering to AI/ML and frontend development. This breadth of skills and willingness to explore different domains suggests adaptability and a continuous learning mindset, which are positive indicators for cultural fit. The hackathon coordination role also points to leadership potential and engagement within the technical community. However, the lack of professional experience beyond a short internship means their ability to integrate into a corporate culture and navigate team dynamics at a senior level is largely untested.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills by identifying issues and proposing technical solutions in their projects. Their experience in QA testing and defining API contracts suggests an attention to detail and a collaborative mindset. The internship experience indicates an ability to adapt to evolving requirements and meet deadlines. However, the overall experience level is limited, which might impact their ability to operate independently in complex senior-level scenarios.