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AI Engineer with less than a year in retrieval and multi-agent systems.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI engineer building retrieval and multi-agent systems that ship. CS graduate with two internships delivering production LLM features (FastAPI, React, OpenAI API) and four independent projects spanning RAG pipelines, vector databases, and full-stack AI applications. Based in Bengaluru - seeking an AI Engineer role.
Moodalakatte Institute of Technology
BE · Computer Science
N/A – June 30, 2025
Govt. PU College, Kundapur
XII (PUC)
N/A – Present
ForthFocus
Software Development Intern
February 1, 2025 – May 1, 2025
India
Ishta Digitals
AI Engineer Intern
February 1, 2024 – May 1, 2024
India
Enterprise AI Copilot
June 23, 2026 – Present
Built an AI system enabling natural-language interaction with enterprise data using FastAPI and LangGraph with multi-agent architecture. Integrated RAG with ChromaDB, PostgreSQL, and Redis for low-latency, accurate business insight retrieval. Designed a real-time React chat interface to help users quickly access and act on business insights.
View ProjectFull-Stack RAG System for Intelligent Document Search
June 23, 2026 – Present
Developed an AI-powered application for querying large document datasets with accurate, context-aware responses. Implemented FastAPI backend with LangChain and ChromaDB vector store, integrated Groq LLM, and built a React interface. Improved document retrieval speed and accuracy significantly compared to manual search workflows.
View ProjectCompanyBrain - Organizational Memory AI
June 23, 2026 – Present
Built an AI-powered organizational memory system preserving context across Slack, CRM records, support tickets, and meeting transcripts for natural-language enterprise querying. Engineered agent-based retrieval with semantic search, embedding pipelines, and MCP-style data connectors using FastAPI, React, Qdrant, and RAG architecture. Enabled teams to preserve historical institutional knowledge and improve decision-making continuity through evidence-backed AI responses.
View ProjectSocial Media Backend API
June 23, 2026 – Present
Built a backend system for a social media platform supporting users, posts, and social interactions with full authentication. Implemented using FastAPI, PostgreSQL, and SQLAlchemy with secure REST APIs and access control. Designed to handle real-world user operations securely, demonstrating scalable backend engineering fundamentals.
View ProjectSupervised ML: Regression & Classification
Unknown
June 1, 2026 – Present
Advanced Learning Algorithms
Unknown
June 1, 2026 – Present
Google Data Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in AI and full-stack development, aligning well with an AI Engineer role. The diversity of projects, from organizational memory to customer support chatbots and social media backends, indicates a broad technical curiosity and ability to adapt to different problem domains. The focus on practical, deployable solutions suggests a results-oriented mindset. However, all projects are personal, and the experience is limited to internships, which might require more mentorship in a full-time role.
Soft Skills & Operational Fit
The candidate has experience working in an agile team, participating in standups, sprint planning, and peer code reviews, indicating good operational fit. Their internship descriptions highlight problem-solving and feature delivery, suggesting a proactive work attitude. The project descriptions are clear and concise, demonstrating good communication of technical work.