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Yogesh ModiYM
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Yogesh Modi

@yogeshmodi

Senior AI/ML Engineer at Mindfire Solutions building production multi-agent AI systems with role-based security and evaluation.

India
Message

At Mindfire Solutions, I lead the full project lifecycle for production agentic and generative AI systems, from problem discovery and system design through QA and rollout. I designed a multi-agent platform with role-based controls for agent access and external tools.

For the enterprise business operations platform, I orchestrated specialized agents for analytics, documentation Q&A, product search, and vendor analysis. I built its RAG pipelines and simulation evaluation harness, and containerized the system in a deployment that reduced deployment time by 80%.

Previously, at Cimcon Infotech Pvt Ltd, I trained ML models on financial data and developed preprocessing pipelines and FastAPI model-serving applications. At Sunbots Innovations LLP, I took computer vision models from prototype to production and improved detection accuracy on the SMARTON product through dataset optimization and hyperparameter tuning.

Experience

Work history, roles, and key accomplishments

MS
Current

Sr. Software Engineer (AI/ML)

Mindfire Solutions

May 2025 - Present (1 year 6 months)

Led the full project lifecycle as technical lead, from problem discovery and system design through QA, production rollout, and client-facing demos. Designed and architected production agentic and generative AI systems, including multi-agent orchestration, autonomous workflows, and LLM-driven decision systems.

SL

AI Engineer

Sunbots Innovations LLP

Feb 2023 - Dec 2024 (1 year 10 months)

Trained and optimized computer vision models for product features and client projects, taking models from prototype to production deployment. Developed automated image labeling pipelines and data filtering techniques, cutting manual annotation effort and improving model performance.

Education

Degrees, certifications, and relevant coursework

Silver Oak University logoSU

Silver Oak University

Bachelor of Technology, Information Technology

2019 - 2023

Grade: 7.95/10

Pursued a Bachelor of Technology in Information Technology, achieving a CGPA of 7.95 out of 10.

Coursera logoCO

Coursera

Machine Learning Specialization, Machine Learning

Completed the Machine Learning Specialization covering supervised learning, advanced learning algorithms, unsupervised learning, recommender systems, and reinforcement learning.

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