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Kalash Tiwari UserKU
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Kalash Tiwari User

@kalashtiwariuser

AI/ML engineer building multi-agent generative AI systems, LLM fine-tuning, and long-document reasoning pipelines.

India
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What I'm looking for

I’m looking for a role where I can build production-ready LLM and multi-agent reasoning pipelines—document intelligence, grounding to reduce hallucinations, and long-context systems—while continuing to push fine-tuning and multimodal learning forward.

I build multi-agent generative AI systems and LLM fine-tuning workflows, with an emphasis on long-context reasoning and document intelligence pipelines.

At Adya.AI, I worked on the Adaptive Governance Protocol (AGP), building a neuro-symbolic pipeline that converts policies into DSL and then Lean 4 for deterministic validation.

I also developed a Model Studio for LLM experimentation, supporting 200+ models with unified fine-tuning and evaluation, and added hierarchical summarization plus context graphs to improve long-context memory.

Earlier, I built a transcription and summarization system at Predixion AI using Whisper and Mistral with a Gradio interface, and at Cloud Counselage I cleaned real-world datasets and optimized student placement prediction models using Random Forest.

Experience

Work history, roles, and key accomplishments

AD

AI Engineer

Adya.AI

Apr 2025 - Apr 2026 (1 year)

Built a neuro-symbolic pipeline converting policies to DSL for deterministic validation. Developed LLM experimentation platform supporting 200+ models with unified fine-tuning and evaluation.

PA

Artificial Intelligence Intern

Predixion AI

Dec 2023 - Jan 2024 (1 month)

Built transcription and summarization system using Whisper and Mistral with a Gradio interface. Improved summarization quality using extractive and abstractive methods.

Education

Degrees, certifications, and relevant coursework

UM

University of Mumbai

Master of Science, Data Science

2022 - 2024

Grade: 9.33 CGPI

Pursued MSc in Data Science with a CGPI of 9.33.

UM

University of Mumbai

Bachelor of Science, Statistics

2019 - 2022

Grade: 8.51 CGPI

Completed BSc in Statistics with a CGPI of 8.51.

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