Python Full-Stack Developer Intern with less than a year in Generative AI, RAG, and web applications
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Assessing your cultural and operational fit
CS Engineering graduate with hands-on experience building Generative AI systems, RAG pipelines, and full-stack web applications. Proficient in Python, React, TypeScript, LangChain, FAISS, and LLM integration (Gemini/GPT/Qwen/Ollama). Seeking roles in Full-Stack Development or AI/ML Engineering.
GEC Hassan
Bachelor of Engineering · Computer Science
January 1, 2024 – May 1, 2026
Dhee Coding Lab
Python Full-Stack Developer Intern
January 1, 2026 – May 1, 2026
Yelahanka, Karnataka, India
NEURON - Multimodal AI Assistant
January 1, 2025 – December 31, 2025
Built a self-hosted multimodal AI assistant for STEM education using open-source LLMs (Ollama) and a RAG pipeline (LangChain + FAISS), enabling sub-2s query responses with zero cloud API dependency. Engineered multimodal input (canvas, voice, text, image) with real-time transcription across 10+ Indian regional languages; implemented JWT-authenticated multi-user sessions with MongoDB-backed knowledge bases.
View ProjectVOICECARE - Multilingual AI Healthcare Platform
January 1, 2025 – December 31, 2025
Built a voice-first AI healthcare platform for end-to-end patient workflows (symptom triage, appointments, health records) using Dwani.ai speech processing and WebSocket real-time communication. Integrated Gemini LLM-powered mental health bot, Geolocation API for emergency response, and Google Calendar API for automated appointment management with ARIA-compliant accessibility.
View ProjectNEWZWRITE - Responsive News Sharing App
January 1, 2024 – December 31, 2024
Built a full-stack news platform with dynamic posts, category filtering, likes, comments, and media uploads; reduced feature dev time by ~35% through reusable React component architecture and scalable REST API design.
View ProjectNLP Fundamentals
Infosys Springboard
June 1, 2026 – Present
HackSprint 2.0 Hackathon
GEC Hassan
January 1, 2024 – Present
Internship
Edunet Foundation
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI/ML and full-stack development, aligning well with innovative and technically challenging environments. The diversity of projects (AI assistant, healthcare platform, news app) and the use of various technologies (Python, React, MongoDB, Azure, Google Cloud) suggest adaptability and a broad technical curiosity. The internship experience and hackathon win indicate a collaborative and results-oriented mindset, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (e.g., reducing page load time, optimizing database schemas) and an ability to work with diverse technologies. The hackathon win suggests teamwork and rapid prototyping capabilities. The focus on accessibility (ARIA-compliant) and multi-user sessions indicates an awareness of user experience and system design considerations.