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AI Engineer with less than a year in Python, FastAPI, and LLM-integrated backend systems.
Backend-focused developer with deep Python expertise and specialised experience building AI-integrated server-side systems. Proficient in FastAPI, Flask, PostgreSQL, SQLAlchemy, Docker, and cloud deployments. Skilled at architecting scalable REST APIs and embedding LLM capabilities — RAG pipelines, LangChain agents, vector search — directly into backend services. Experienced building production-grade systems with strong emphasis on performance, security, testing, and reliability. IEEE-published researcher in applied AI.
Government Engineering College, Idukki
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Adivinartech Solutions
AI Backend Engineer (Intern)
November 1, 2025 – May 1, 2026
India
Dhinker
Backend Developer Intern(AI)
July 1, 2025 – October 1, 2025
India
AI Chatbot with Persistent Memory – Multi-Persona Agent (Full Stack)
June 24, 2026 – Present
Persistent AI chatbot built with FastAPI, React, and LangGraph that replicates a Gemini-style experience with switchable AI personas (Friend, Girlfriend, Bully, etc.) and long-term memory. LangGraph-managed agentic conversation flow; JWT + Bcrypt authentication; persistent storage of users, sessions, and message history in PostgreSQL and ChromaDB.
View ProjectVoxen – Multi-Agent AI Voice Platform
June 24, 2026 – Present
Multi-agent AI voice platform that lets users create, configure, and orchestrate intelligent voice assistants using their own API keys, across any language or LLM provider. FastAPI async backend with WebSocket token streaming, Groq Whisper multilingual STT, LangChain multi-provider LLM abstraction, and Fernet-encrypted API key storage in PostgreSQL. Vue 3 (Composition API) frontend with Pinia state management, role-based routing (user / superadmin), and Web Speech API fallback for browser-native STT/TTS.
Autonomous Multi-Agent Business Intelligence Platform
June 24, 2026 – Present
Takes a business scenario as input and autonomously produces a complete GTM strategy, competitor analysis, pricing strategy, content plan, and growth experiments via 8 collaborating AI agents. LangGraph orchestrates agent-to-agent handoffs and shared state; React frontend and FastAPI backend with PostgreSQL persistence for scenario inputs and generated strategy artifacts.
View ProjectDevPath – AI-Powered Learning Roadmaps for Developers
June 24, 2026 – Present
Generates personalized, AI-powered learning roadmaps, quizzes, and curated resources for any technology, with Beginner/Intermediate/Advanced leveling and progress tracking. Node.js/Express REST API with JWT authentication, Gemini API-powered roadmap and quiz generation, Supabase (PostgreSQL) persistence, and shareable roadmap links.
SecureVision – AI Inference Backend (IEEE Published)
June 24, 2026 – Present
Python async backend running YOLOv8 real-time inference, REST alert API, Firebase push integration — published at IEEE NetACT 2025; demonstrates AI-backend systems expertise.
SecureVision: A Lightweight Real-Time Framework for Surveillance AI
IEEE NetACT 2025
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, including multi-agent systems, AI-powered learning platforms, and voice platforms, demonstrates a strong passion for AI and innovation. The experience in both internship roles and personal projects aligns directly with an AI Engineer role, indicating a good cultural fit for a forward-thinking, technology-driven environment. The breadth of technologies used across projects (FastAPI, React, Vue, Node.js, various LLM APIs, multiple databases) shows adaptability and a willingness to learn new tools.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive and self-driven individual, capable of taking initiative on complex projects. The involvement in leadership roles (Design Lead, Designer, Volunteer Secretary) suggests good organizational and teamwork potential. The focus on building production-grade systems with emphasis on performance, security, and reliability aligns well with operational best practices.