Pavan P.-AI-Native Full-Stack Engineer | Agentic Systems & MCP | Backend & Real-Time Engineering
Check rate
Experience
Generalist — AI Model Evaluation & Training
Handshake AI
- Evaluate AI-generated responses against project rubrics for factual accuracy, reasoning quality, and instruction-following across technical and general-knowledge tasks.
- Write adversarial test prompts using subject-matter depth to surface cases where a model reasons incorrectly or answers with unsupported claims.
- Review other evaluators' submissions for rubric adherence and consistency, flagging mismatches before data ships to the client.
Associate Software Engineer (promoted from Graduate Intern)
Bonbloc AI
- Promoted after a 6-month internship on a 96% performance evaluation and a company-wide "Star of the Month" award.
- Owned end-to-end development of a multi-tenant communication microservice (NestJS, Socket.IO, Redis, PostgreSQL, JWT): 59 REST endpoints and 20+ WebSocket events, fully documented.
- Built backend and middleware APIs for a multi-tenant LMS (NestJS, React, PostgreSQL) and resolved 15+ tracked production issues across course progression, certification, and notification logic.
- Built the Timesheets module of the company's internal, Jira-style project management system, used company-wide.
- Delivered backend APIs for AngaSetu, a government-funded Anganwadi welfare platform (Node.js, PostgreSQL), supporting a successful UAT deployment and CEO demo.
MCP-Based Code Review Agent
BONbLOC Technologies Pvt Ltd
- Built a Model Context Protocol server exposing custom tools (file read, diff retrieval, test execution), wired to the Claude API to run structured, automated code review on pull requests.
- Designed the tool-calling architecture from scratch rather than using a prebuilt wrapper, applying MCP and Agent Skills certifications to a working system.
AI-Augmented Multi-Tenant Helpdesk Microservice
BONbLOC Technologies Pvt Ltd
- Created an AI-powered, multi-tenant helpdesk backend using NestJS, PostgreSQL, Redis, Socket.IO, and JWT, allowing scalable and secure ticket management with real-time updates.
- Created a multi-tenant architecture for supporting multiple organizations with secure data isolation and optimized performance of the system.
- Integrated Claude API for automated triaging of tickets and creation of tickets’ priorities as well as suggestions for responding to tickets via AI.
- Added ticket updates and communication in real time through Socket.IO.
- Applied experience in the development of Bonbloc communication microservice.
Industry experience
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Experienced in Information Technology, Education, and Government and Administration.
Business area experience
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Experienced in Information Technology, Product Development, Project Management, and Quality Assurance.
Summary
Full-stack engineer with 11 months of production experience (Node.js/NestJS, React) plus contract work evaluating and adversarially testing AI model outputs. Builds AI-native tooling by design, not by trend: shipped a working MCP server with custom tool-calling wired to the Claude API, and an AI-augmented service that auto-triages work in real time. Comfortable owning a feature across API, real-time, and database layers, and independently picks up new stacks and domains quickly — including foundational Java coursework, though production depth is currently in the Node/TypeScript ecosystem rather than Java.
Skills
- Ai / Agentic Engineering: Anthropic Claude Api, Mcp (Model Context Protocol) Server & Tool Design, Prompt Engineering, Github Copilot
- Backend: Node.Js, Nestjs, Express.Js, Rest Apis, Websockets (Socket.Io), Jwt Auth, Typeorm
- Frontend: React.Js, Html5, Css3
- Databases & Infra: Postgresql, Mysql, Mongodb, Redis, Docker, Git, Ci/Cd Basics
- Ai Evaluation: Rubric-Based Response Rating, Adversarial Prompt Writing, Rlhf-Style Feedback, Cross-Evaluator Review
Languages
Education
NRI Institute of Technology
B.Tech · Computer Science & Engineering (AI & ML) · Vijayawada, India · 8.8/10
Certifications & licenses
Agent Skills
Anthropic
Claude API Fundamentals
Anthropic
Claude Code in Action
Anthropic
Anthropic
Data Structures & Backend with Java
Coursera
Salesforce Certified AI Associate
Wipro TalentNext Java Full Stack
Cloud Computing & Cyber Security
NPTEL
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Pavan is based in Hyderabad, India and prefers 100% remote projects.
Pavan speaks the following languages: Telugu (Native), English (Advanced), Hindi (Advanced).
Pavan has at least 1 year of experience. During this time, Pavan has worked in at least 4 different roles and for 3 different companies. The average length of individual experience is 4 months. Note that Pavan may not have shared all experience and actually has more experience.
Based on recent experience, Pavan would be well-suited for roles such as: Generalist — AI Model Evaluation & Training, Associate Software Engineer (promoted from Graduate Intern), MCP-Based Code Review Agent.
Pavan's most recent position is Generalist — AI Model Evaluation & Training at Handshake AI.
In recent years, Pavan has worked for Handshake AI, Bonbloc AI, and BONbLOC Technologies Pvt Ltd.
Pavan is most experienced in industries like Information Technology, Education, and Government and Administration.
Pavan is most experienced in business areas like Information Technology, Product Development, and Project Management. Pavan also has some experience in Quality Assurance.
Pavan holds a Bachelor in Computer Science & Engineering (AI & ML) from NRI Institute of Technology.
Pavan has 8 certificates. Among them, these include: Agent Skills, Claude API Fundamentals, and Claude Code in Action.
Pavan is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
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Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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