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Malhar Bonde

AI Engineer | Multi-Agent Systems, Agentic RAG & Edge AI | Backend Engineering | ICAIC 2025 published

Mumbai Metropolitan Region

1+ year of work experience

Neebal Technologies
Jun 20257 mosDec 2025

Mumbai

– Architected a stateful multi-agent system using LangGraph to automate complex business decision-making, reducing manual processing time by 40% and enhancing decision accuracy through Agentic RAG pipelines – Built a curriculum-aware RAG pipeline for an EdTech Q&A module (Agneez); implemented grade-level metadata filtering in Pinecone DB to ensure responses were pedagogically appropriate per student level (e.g. restricting quadratic solutionsto factor method for Grade 6), reducing response time to under 2s from a prior baseline – Developed an Edge-AI Farmer’s Assistant application; integrated a custom-trained ML model for real-time crop disease identification achieving 96% model accuracy across 20+ disease categories, providing low-latency weather and mandi updates on edge devices – Automated visa monitoring workflows by deploying a notification bot, reducing user check-frequency by 90% and improving successful slot acquisition rates through automated polling and real-time alerts
DJS buildspace
Jan 20238 mosAug 2023

DJSCE E-Cell
Oct 202211 mosAug 2023

Malhar’s AI Stack

claude code
claude code
cursor
cursor
langchain
langchain
langgraph
langgraph

Education

Dwarkadas J. Sanghvi College of Engineering

CSE(ICB), Computer Science

Dwarkadas J. Sanghvi College of Engineering

20214 yrs2025
Pace Junior Science College

Higher Secondary Certificate, PCM

Pace Junior Science College

20192 yrs2021

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Headline

AI Engineer | Multi-Agent Systems, Agentic RAG & Edge AI | Backend Engineering | ICAIC 2025 published

About

I build agentic AI systems that do real work in production. At Neebal Technologies I architected a multi-agent LangGraph pipeline that cut manual processing time by 40%, a curriculum-aware RAG system with sub-2s latency, and an Edge-AI crop disease classifier at 96% accuracy. My final-year research on AI-driven algorithmic trading (TCARP) was published at ICAIC 2025. I've shipped across the stack - FastAPI, LangChain, Pinecone, PostgreSQL, React and I'm comfortable taking a system from zero to deployed.

Location

Mumbai Metropolitan Region

AI stack

claude code

cursor

langchain

langgraph

Work experience

Software Trainee at Neebal Technologies, Jun 2025 - Dec 2025 · 7 mos, Mumbai, – Architected a stateful multi-agent system using LangGraph to automate complex business decision-making, reducing manual processing time by 40% and enhancing decision accuracy through Agentic RAG pipelines – Built a curriculum-aware RAG pipeline for an EdTech Q&A module (Agneez); implemented grade-level metadata filtering in Pinecone DB to ensure responses were pedagogically appropriate per student level (e.g. restricting quadratic solutionsto factor method for Grade 6), reducing response time to under 2s from a prior baseline – Developed an Edge-AI Farmer’s Assistant application; integrated a custom-trained ML model for real-time crop disease identification achieving 96% model accuracy across 20+ disease categories, providing low-latency weather and mandi updates on edge devices – Automated visa monitoring workflows by deploying a notification bot, reducing user check-frequency by 90% and improving successful slot acquisition rates through automated polling and real-time alerts

Editorial Head and Developer at DJS buildspace, Jan 2023 - Aug 2023 · 8 mos

Editorial Staff at DJSCE E-Cell, Oct 2022 - Aug 2023 · 11 mos

Education

CSE(ICB), Computer Science, Dwarkadas J. Sanghvi College of Engineering

Higher Secondary Certificate, PCM, Pace Junior Science College

Malhar Bonde - Software Trainee in Mumbai Metropolitan Region | Tal