Python Engineer with 2+ years in AI/ML & Backend 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
Python Backend & GenAI Developer with 2+ years building scalable REST APIs, ETL pipelines, and LLM-powered systems. Proficient in FastAPI, Django, LangChain, LangGraph, and RAG architectures. Experienced designing agentic AI workflows, vector database integrations, and production-grade SaaS platforms on Azure with Docker.
Delhi Skills and Entrepreneurship University
MCA
August 1, 2022 – June 30, 2024
Institute of Innovation in Technology and Management
BCA
August 1, 2019 – June 30, 2022
Mind IT Systems
Associate Software Developer
March 1, 2024 – Present
India
Salesforce
Virtual Developer Intern
April 1, 2023 – May 1, 2023
India
TripPlanner – Agentic AI Travel Planner
June 1, 2026 – Present
• Engineered an agentic AI travel planner using LangGraph and LangChain for multi-step reasoning, integrating weather and location APIs; built modular FastAPI backend.
StageSyncer – AI-Powered Event Matchmaking Platform
June 1, 2026 – Present
• Built full-stack platform (Django, React.js, WebSockets) with a recommendation engine matching artists/venues by preferences; integrated OpenAI API for chat summarization and intelligent suggestions.
Enterprise Policy & Knowledge Assistant (Multi-Source RAG)
June 1, 2026 – Present
• Built an enterprise AI chatbot using RAG with LangChain and FAISS over documents, Google Drive, and web sources; implemented query routing between internal knowledge base and web search. • Developed FastAPI backend with JWT authentication, RBAC, OpenAI embeddings, PostgreSQL metadata storage, and Docker containerization for production deployment.
Azure AI Fundamentals
Microsoft Certified
June 1, 2026 – Present
SAP S/4HANA Cloud – Certified Application Associate
SAP
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative and technically driven environment, particularly one focused on AI and backend development. Their personal projects showcase initiative and a passion for technology beyond professional obligations. The breadth of technologies used (Python, JavaScript, various AI frameworks, multiple databases, cloud platforms) indicates a continuous learning mindset and adaptability. The experience in building multi-tenant SaaS platforms and implementing RBAC suggests an understanding of enterprise-level requirements and security, which is valuable for team collaboration and product development.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving and a strong inclination towards building innovative solutions. The diverse range of projects, from AI chatbots to full-stack platforms, suggests adaptability and a willingness to tackle different technical challenges. The focus on agentic AI and complex data pipelines indicates a structured and analytical mindset. However, without direct assessment data on collaboration or communication style, specific soft skill strengths are inferred from project outcomes rather than direct observation.