
Python Engineer with 2+ years in Generative AI & Backend Systems.
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Assessing your cultural and operational fit
Python Developer with 2 years of experience building scalable applications and backend systems. Experienced in Generative AI, LLMS, RAG, LangChain, LangGraph, Ollama, REST APIs, workflow automation, and AI-powered solutions.
Rani Laxmi Bai Memorial School
Class X
N/A – Present
Ajay Kumar Garg Engineering College
B.Tech · Computer Science and Engineering
N/A – June 30, 2024
Rani Laxmi Bai Memorial School
Class XII
N/A – May 31, 2019
Cyfuture India Private Limited
Associate Software Engineer
July 1, 2024 – Present
Noida, Uttar Pradesh, India
Smart Knowledge Assistant
June 24, 2026 – Present
Developed a RAG pipeline including document processing, embeddings, vector indexing, semantic search, prompt augmentation, knowledge retrieval, document understanding, and contextual information extraction. Implemented semantic retrieval using ChromaDB and embedding models, enabling vector search, context-aware information retrieval and grounded response generation from documents.
LLM-Powered Job Intelligence & ATS Matching System
June 24, 2026 – Present
Engineered an end-to-end LLM-powered automation system that extracts LinkedIn job data using browser automation, semantic processing, structured information retrieval, and intelligent data extraction. Integrated Ollama (Phi-3) and LangChain for ATS matching, prompt engineering, skill evaluation, semantic analysis, and LLM-powered recommendations. Built an AI orchestration pipeline for workflow automation, structured output generation, and intelligent decision support.
Enterprise Backend API System
June 24, 2026 – Present
Designed and developed complete Admin Panel backend APIs using FastAPI, implementing authentication, authorization, JWT access/refresh token workflows, request validation, secure REST API architecture, user management, API integrations, business workflow automation, and database-driven operations. Managed database schema migrations using Alembic, designed modular API architecture, and optimized data models, authentication workflows, and API response handling.
View ProjectCareer Essentials in Data Analysis
Microsoft & LinkedIn Learning
June 1, 2026 – Present
Qualified for Kavach 2023 Hackathon
Government of India
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/LLM technologies, which aligns well with innovative and forward-thinking teams. The participation in a hackathon (Kavach 2023) further indicates a proactive and problem-solving mindset. The diversity of projects (backend APIs, RAG, LLM automation) suggests adaptability and a broad technical curiosity. However, the lack of diverse team-based project experience beyond the current role makes it difficult to fully assess cultural fit in a larger, established team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, end-to-end systems and integrate various technologies. The experience at Cyfuture suggests collaboration in Agile/Scrum environments and a focus on high-availability systems. However, the short tenure in the current role limits the assessment of long-term operational fit and sustained collaboration.