Kalash Tiwari User
@kalashtiwariuser
AI/ML engineer building multi-agent generative AI systems, LLM fine-tuning, and long-document reasoning pipelines.
What I'm looking for
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
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.
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.
Machine Learning Intern
Cloud Counselage Pvt. Ltd.
Jul 2023 - Sep 2023 (2 months)
Cleaned and processed real-world datasets for predictive modeling. Built and optimized student placement prediction models using Random Forest.
Education
Degrees, certifications, and relevant coursework
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.
University of Mumbai
Bachelor of Science, Statistics
2019 - 2022
Grade: 8.51 CGPI
Completed BSc in Statistics with a CGPI of 8.51.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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