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AI Engineer with less than a year in building RAG systems, conversational AI agents, and cloud-nativ
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-stack AI developer specializing in intelligent applications and enterprise solutions. Experienced in building RAG systems, conversational AI agents, and cloud-native applications using Next.js, Python, LangChain, and FastAPI, with foundational knowledge of SAP ERP systems.
Yeshwantrao Chavan College of Engineering (YCCE)
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Second Brain
January 1, 2026 – Present
A full-stack web application that helps users organize and manage content from multiple platforms (Twitter, YouTube, Instagram, etc.) in one centralized dashboard. Features secure authentication, smart filtering by platform type, and shareable collection links for curated content with protected routes and RESTful API architecture.
CollabDraw
January 1, 2026 – Present
A real-time collaborative whiteboard application built from scratch with a custom drawing engine, enabling multiple users to draw simultaneously with instant WebSocket-based synchronization. Features persistent storage for session recovery, secure JWT authentication, and room-based collaboration support. Organized in an efficient monorepo architecture using Turborepo for optimized builds and shared code across frontend and backend services, deployed on AWS EC2 with load balancing for high availability.
Async RAG API
January 1, 2026 – Present
An asynchronous Retrieval-Augmented Generation API that processes PDF documents and answers questions based on their content. Uses background job processing with Redis Queue to keep the API responsive while performing vector similarity search and GPT-based question answering.
View ProjectConversational Voice AI Agent
January 1, 2026 – Present
A voice-powered AI assistant that enables natural speech conversations with context-aware responses. Uses a dual-database architecture (Neo4j for relationships, Qdrant for vectors) to maintain conversational memory and retrieve relevant context through semantic search.
View ProjectSAP for Beginners course
Udemy
June 1, 2026 – Present
The Complete Full-StackWeb Development Bootcamp
Udemy
June 1, 2026 – Present
Advanced Learning Algorithms
Coursera
June 1, 2026 – Present
SQL
CODECHEF
June 1, 2026 – Present
Understanding Cloud Computing
365 Data Science
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards personal projects, demonstrating initiative and a passion for technology. The projects are diverse, ranging from full-stack web development to specialized AI applications, which aligns with a dynamic and innovative work culture. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit regarding collaboration and corporate environment adaptability. The focus on AI and data science aligns well with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual capable of tackling complex technical challenges independently. The breadth of technologies used across personal projects suggests a strong learning aptitude and a hands-on approach to problem-solving. However, without professional experience or psychometric test results, it's difficult to assess collaboration, stress handling, or direct operational fit in a team environment.