AI Engineer with less than a year in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Machine Learning, NLP, and AI systems development, proficient in building end-to-end ML pipelines using Python and deploying them via scalable REST APIs. Experienced with RAG architectures, vector databases, and LLM integration, with a strong backend foundation in FastAPI.
SRM Easwari Engineering College
B.E. · Computer Science
August 1, 2022 – June 30, 2026
Rosemallow Technologies Pvt Ltd
Python Developer Intern
January 1, 2026 – March 31, 2026
India
Gradtwin
Python Full Stack Developer Intern
November 1, 2025 – January 31, 2026
Chennai, Tamil Nadu, India
Social Media Publisher
June 1, 2026 – Present
Engineered a scalable social media publishing platform integrating LinkedIn OAuth 2.0 and Instagram APIs for automated content distribution. Implemented event-driven background processing using Celery and Redis for scheduled post publishing and task execution. Developed secure REST APIs with JWT authentication for multi-account content management. Containerized microservices using Docker and Docker Compose, enabling portable and reproducible deployments.
AI-Powered Personal Finance Tracker
June 1, 2026 – Present
Built an AI-powered expense management system leveraging EasyOCR and machine learning for automated receipt understanding. Created a data preprocessing and annotation pipeline to improve classification model performance and prediction reliability. Designed FastAPI microservices and REST APIs for expense categorization, analytics, and financial reporting. Integrated PostgreSQL and JWT authentication to deliver secure, scalable transaction management.
Retail Demand Forecasting & Inventory Intelligence Platform
June 1, 2026 – Present
Developed a machine learning forecasting engine using XGBoost to predict retail demand and optimize inventory planning. Engineered time-series features including lag variables, rolling metrics, seasonality, and holiday-driven demand patterns. Built production-ready FastAPI inference APIs with Pydantic validation for real-time sales forecasting. Delivered business intelligence dashboards in Power BI and deployed containerized services using Docker.
Generative AI Foundations
upGrad (Microsoft)
June 1, 2026 – Present
Advanced Diploma in Python Programming
CSC
June 1, 2026 – Present
React Essentials Training
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (social media, finance, retail forecasting) and the range of technologies used (Python, FastAPI, Django, ML libraries, Docker, various databases) suggest adaptability and a willingness to learn new tools. The focus on AI/ML aligns well with an AI Engineer role. The internship experiences, though short, show exposure to professional development environments and Agile methodologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges independently and as part of a team (Agile collaboration mentioned). The structured approach to API development, data processing pipelines, and system maintainability suggests good operational awareness. Participation in hackathons and coding contests indicates a proactive and problem-solving mindset.