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ayush tomar

@ayushtomar1

I build production full-stack and multi-agent LLM systems that automate career workflows.

India
Message

At VMock, I build production AI systems for resume editing, career coaching, and resume-building workflows. I developed a Google ADK multi-agent resume editor that routes work across seven specialist agents and built a LangGraph coaching backend orchestrating 16 specialized agents with resumable, human-in-the-loop conversations.

I've reduced manual effort by approximately 75% and processing time by approximately 90% across 50+ configuration workflows using LangGraph and FastAPI pipelines. I also designed Resume Builder REST services and microservices, including resume parsing that normalizes uploads into structured JSON at 90%+ field accuracy.

I ship end-to-end product experiences across React, Redux, FastAPI, WebSockets, MySQL, PostgreSQL, Elasticsearch, and AWS. My work includes a 10+ language Resume Builder UI, cover-letter generation, and a Bootstrap migration that reduced page load by approximately 20%.

Previously at Zepto, I cut rider fraud by 20% through face-verification integration and improved delivery-slot efficiency by 10% with payment-tied scheduling and Golang synchronization jobs. I also build reliable distributed systems, including a fault-tolerant Kafka and Redis task queue with CI/CD, observability, retries, and dead-letter routing.

Experience

Work history, roles, and key accomplishments

VM
Current

Software Developer (Full-Stack)

VMock

Jun 2025 - Present (1 year 2 months)

Developed an AI multi-agent system for resume editing on Google ADK, routing a root agent to 7 specialist sub-agents on GPT-5.1/mini via LiteLLM for resume mutation, JD optimization, and scoring over FastAPI WebSockets. Architected an AI career-coaching backend on LangGraph, FastAPI, and GPT-4.1 where an LLM planner dynamically selects and orchestrates 16 specialized coaching agents and streams re

ZE

Software Engineering Intern

Zepto

May 2024 - Jul 2024 (2 months)

Cut rider fraud by 20% by integrating a third-party face-verification SDK that re-verifies riders by ride state, using DB flags to block impersonation and stop unwarranted cash payouts. Replaced fixed delivery windows with payment-tied slot scheduling, wrote Golang cron jobs syncing rider assignments, slot availability, and inventory across MySQL, lifting slot efficiency 10%, plus an ops calling p

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Roorkee logoIR

Indian Institute of Technology Roorkee

Bachelor of Technology, Electrical Engineering

2021 - 2025

Grade: 8.665/10

Pursued a Bachelor of Technology in Electrical Engineering with a minor in Computer Science, achieving a CGPA of 8.665/10.

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