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AI Engineer with 1+ years in LLM applications & full-stack development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI/ML Engineer with hands-on project experience in building LLM-powered applications, RAG pipelines, and web systems using Python, Django, FastAPI, and LangChain. Passionate about Generative AI and eager to apply skills in real-world environments as a fresher.
SRM Institute of Science and Technology, Chennai
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Full Stack E-Commerce Web Application
June 1, 2025 – June 19, 2026
Engineered a scalable full-stack E-Commerce platform using React.js and Django REST Framework, implementing JWT-based authentication, product management, shopping cart, and end-to-end order processing workflows. Designed and deployed RESTful APIs for product catalog, cart operations, and checkout, integrating PostgreSQL for relational data persistence and React Context API for global client-side state management. Built a responsive, mobile-first UI with Tailwind CSS, featuring dynamic product rendering, protected route handling, and optimized frontend-backend communication for enhanced performance and user experience.
View ProjectAI Medical Assistant
January 1, 2025 – May 31, 2025
Built an AI-powered Medical Assistant using LangChain and Groq Llama 3 to implement Retrieval-Augmented Generation (RAG) for intelligent document analysis, contextual question answering, and semantic search over medical PDF corpora. Architected a scalable vector search pipeline using Pinecone and HuggingFace embeddings, integrating document chunking, embedding generation, and real-time inference via a FastAPI backend with optimized API throughput. Developed an interactive Streamlit frontend with PDF ingestion and a conversational AI interface, demonstrating end-to-end proficiency in LLM integration, vector databases, NLP pipelines, and full-stack AI application development.
View ProjectAI Blog Article Generator
August 1, 2024 – December 31, 2024
Developed a Generative AI full-stack web application that automates conversion of YouTube video content into SEO-optimized blog articles using OpenAI API, Speech-to-Text (STT) processing via AssemblyAI, and a Django-powered AI content generation pipeline. Implemented secure backend services with Django and PostgreSQL covering user authentication, session management, blog storage, and dynamic AI content generation workflows with REST-based API communication. Integrated OpenAI API, AssemblyAI, and Pytube to orchestrate audio extraction, automated transcription, NLP-based content summarization, and asynchronous frontend communication, accelerating content generation by 60% vs. manual workflows.
View ProjectChronic Kidney Disease Diagnosis Using Machine Learning
3rd International Conference on Optimization Techniques in Engineering (ICOTE 2024)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI technologies, particularly Generative AI and LLMs, which aligns well with an AI Engineer role. The diversity of projects (content generation, medical assistant, e-commerce) indicates adaptability and a broad technical curiosity. The focus on full-stack development suggests a holistic approach to problem-solving. The candidate's academic background and research publication further support a culture of continuous learning and technical depth. However, the lack of team-based project experience or professional roles limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-learning capabilities through personal projects. The project descriptions indicate an ability to work independently on complex technical challenges. The research publication suggests an aptitude for problem-solving and applying machine learning to real-world problems. However, without direct work experience, operational fit regarding team collaboration, stress handling, and communication in a professional setting cannot be fully assessed.