Help & Supportcareers@gravityer.com
Backend Engineer with less than a year in Python, Go, and 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
A highly motivated and results-oriented backend developer with 0.7 years of internship experience in building robust services using Go and Python. Proficient in developing AI-driven solutions, API integrations, and scalable backend architectures with technologies like FastAPI, LangGraph, PostgreSQL, and Neo4j. Eager to contribute expertise in asynchronous processing and API development to innovative projects.
Jain University
Master of Computer Application · Artificial Intelligence
August 1, 2025 – June 30, 2027
CMR University
Bachelors of Computer Application · Data Science
August 1, 2022 – June 30, 2025
ComixCanal
Backend Developer Intern
December 1, 2025 – Present
India
HCP CRM - AI-First CRM with Agentic Backend
January 1, 2025 – Present
Built a full-stack CRM with a LangGraph agentic backend (5-tool orchestration loop) and Groq-powered LLM, enabling natural-language business queries over structured PostgreSQL data. Designed a production FastAPI backend with JWT auth, SQLAlchemy ORM, and Railway-hosted PostgreSQL; resolved multi-hop LangGraph routing bugs to achieve stable conditional agent execution. Delivered a complete React + Redux frontend with real-time AI assistant integration, iterating through 4 debug cycles to ship a stable, fully integrated product end-to-end.
AI Prompt Marketplace - Backend REST API
January 1, 2024 – Present
Built a modular Flask REST API with JWT authentication, role-based access control, and protected CRUD endpoints Designed structured database models and scalable API workflows for secure prompt and user management Developed and tested backend communication, authentication middleware, and database interaction logic
AutoAgent - Autonomous Research Agent
January 1, 2024 – Present
Built a multi-node LangGraph research agent (Planner → Reader → Synthesizer → Fact-check) that autonomously breaks down queries, retrieves web data, and generates cited, confidence-verified responses. Implemented confidence-based retry logic with conditional loops across agent nodes, reducing hallucination risk and ensuring reliable autonomous research execution on long-form queries.
GraphChat - Natural Language Knowledge Graph Assistant
January 1, 2024 – Present
Built an AI chatbot that converts natural language into Cypher queries using LangChain and Llama 3.3 70B via Groq Designed a Neo4j knowledge graph with multi-hop entity relationships and engineered prompt templates for accurate query generation Deployed the application on Streamlit Community Cloud with secure secrets management
Cultural Fit Analysis
The candidate's projects are diverse, focusing heavily on AI-driven backend systems and integrations, which aligns well with a forward-thinking, innovation-driven culture. The current internship in backend development further strengthens this fit. However, the candidate's experience level is 0, and all projects are personal, which might indicate a need for mentorship in a team environment. The breadth of skills across Python, Go, and various AI/ML frameworks suggests adaptability and a willingness to learn new technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to iterate through debug cycles and resolve complex routing bugs, suggesting problem-solving skills and persistence. The focus on autonomous agents and AI-first systems points to an innovative mindset. However, without direct interview data, it's difficult to assess communication, teamwork, and stress handling in an operational context.