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Software Engineer with 1+ years in Python, FastAPI, and AI/ML applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Software Developer with a focus on building scalable backend APIs for chatbot and document intelligence applications. Proven ability to design and implement Intelligent Document Processing (IDP) systems using RAG, embeddings, and Vector Databases. Skilled in integrating PostgreSQL and MongoDB for efficient data management and following clean architecture principles for robust API design and deployment. Actively seeking roles that leverage expertise in Python, FastAPI, and Generative AI to drive innovative solutions.
Aligarh Muslim University
MCA
August 1, 2022 – June 1, 2024
Aligarh Muslim University
Bachelor of Science
August 1, 2018 – June 1, 2021
Binary Semantics Ltd.
Software Developer
November 1, 2024 – December 1, 2025
Gurgaon, Haryana, India
Chatbot Platform
January 1, 2024 – June 12, 2026
* Designed and developed the entire backend of a chatbot system from scratch using Python and FastAPI. * Implemented JWT-based user authentication and API-key based client authentication to secure APIs. * Utilized PostgreSQL for structured relational data and MongoDB for flexible document-based storage. * Developed and optimized complex business logic for handling diverse chatbot workflows and queries. * Ensured scalability and maintainability of the application with a clean architecture and modular codebase. * Followed best practices in API design, error handling, and documentation.
Intelligent Document Processing
January 1, 2024 – June 12, 2026
* Built an Intelligent Document Processing system using RAG to extract and retrieve information from uploaded documents. * Implemented embeddings generation and stored vector representations in a vector database for efficient semantic search. * Developed a question-answering pipeline where users can query the document and get precise answers sourced from processed content via LLMs. * Extended the same architecture for websites by scraping site data using Selenium, converting it into embeddings, and enabling QA based on website content.
Invoice Intelligence System
January 1, 2024 – June 12, 2026
* Architected and developed an end-to-end GenAI-powered invoice processing system using LLMs to extract, understand, and structure unstructured financial documents. * Designed a Retrieval-Augmented Generation (RAG) pipeline to enable context-aware extraction and validation of invoice data across diverse formats. * Implemented agentic workflows using LangGraph for multi-step reasoning, including data extraction, validation, and error correction. * Optimized LLM performance by reducing hallucinations and improving response accuracy through prompt tuning and validation layers.
Web Development
Internshala
June 12, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong focus on innovative GenAI solutions, which aligns well with forward-thinking and technology-driven cultures. The diversity in project types (chatbot, document processing, invoice intelligence) and the use of various technologies (Python, FastAPI, RAG, LangGraph, PostgreSQL, MongoDB) suggest adaptability and a willingness to learn new tools. The experience level is entry-level, but the project complexity indicates a strong drive for impact.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a structured approach to development, focusing on scalability, maintainability, and best practices. The experience in collaborating with cross-functional teams suggests good operational fit. However, without specific behavioral assessment data, a deeper evaluation of soft skills like leadership, conflict resolution, or adaptability is not possible.