GYANESHWAR PRADHAN
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Django & LLM Engineering
AI and Backend Developer with experience building Agentic AI applications, intelligent workflow automation systems, and scalable backend services using Python and Django. Skilled in developing AI agents with LangGraph, LangChain, LLM orchestration, tool calling, memory management, workflow routing, and Retrieval-Augmented Generation (RAG). Strong foundation in backend engineering, REST API development, database design, authentication systems, and scalable application architecture. Experienced in designing production-oriented solutions that combine AI reasoning capabilities with robust backend infrastructure.
University of Allahabad (Central University)
Bachelor of Computer Applications
August 1, 2022 – June 30, 2025
M.V. College Buxar
Intermediate (BSEB)
June 1, 2019 – May 31, 2021
D.A.V. Public School Buxar
High School (CBSE)
June 1, 2017 – May 31, 2019
Beritrave Technologies
Backend Developer
December 1, 2025 – June 1, 2026
India
E-Commerce Marketplace
December 1, 2025 – June 1, 2026
Developed a full-featured e-commerce platform with authentication, product management, shopping cart functionality, order processing, and RESTful APIs using Django and PostgreSQL. How It Works: User Registration/Login, Product Catalog, Shopping Cart, Admin Dashboard.
Agentic AI Chatbot with LangGraph & Multi-Step Reasoning
December 1, 2025 – June 1, 2026
Developed a stateful Agentic AI chatbot using LangGraph. Implemented multi-step reasoning and workflow-based execution. Designed conversational memory and intelligent routing mechanisms. Integrated tool-calling capabilities for dynamic task execution. Built graph-based agent workflows for planning, reasoning, and response generation. Enabled contextual understanding through LLM orchestration.
AI-Powered Lead Generation & Qualification Agent
December 1, 2025 – June 1, 2026
Built an automated lead acquisition and qualification system using AI-driven workflows. Integrated multiple data sources for lead collection, enrichment, and categorization. Implemented LLM-based lead scoring and qualification logic. Automated CRM-style workflow updates and lead management processes. Generated structured business insights through AI-powered data analysis.
ConnectSphere - Real-Time Video Communication Platform
December 1, 2025 – June 1, 2026
Developed a real-time video communication platform enabling secure peer-to-peer video meetings with room-based collaboration. Implemented user authentication, dynamic room management, media controls, and real-time communication features using Django and WebRTC-based technology. Designed scalable backend architecture for session handling, participant management, and live interaction workflows. How It Works: users can create or join virtual meeting rooms using a unique room ID. The Django backend handles user authentication, room creation, and participant management, while WebRTC/Agora enables direct real-time audio and video streaming between participants. Users can control their microphone and camera during meetings, and the system dynamically manages active sessions and connected users to ensure smooth communication.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to building diverse applications, from e-commerce to AI agents and real-time communication. This breadth of experience, combined with a clear focus on AI and backend development, suggests a good alignment with a dynamic, project-oriented environment. The stated interest in 'operational inefficiencies through automation' indicates a results-driven mindset. The target role of AI Engineer is well-supported by the recent AI-focused projects.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design and implement complex systems, suggesting strong problem-solving and architectural thinking. The focus on 'production-oriented solutions' and 'scalable backend infrastructure' implies an understanding of operational requirements. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a collaborative setting cannot be fully evaluated.