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Akash RanjanAR
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Akash Ranjan

@akashranjan1

Senior AI Scientist at Uniphore building LLM post-training systems, including long-context Gemma 4 training and enterprise fine-tuning.

India
Message

At Uniphore, I build enterprise LLM post-training systems, including long-context fine-tuning for Gemma 4 12B and 31B. I also developed the fine-tuning platform and RAFT data strategy, and designed evaluation methods to trace model failures to ingestion, retrieval, or generation.

At Axtria, I led a 10-member AI team delivering predictive and driver-analysis models for pharmaceutical clients. My work included early-adopter prediction that reached 85% accuracy and improved target identification by 30%, as well as marketing-mix modeling and an automated promotional budget optimizer.

Experience

Work history, roles, and key accomplishments

Uniphore logoUN
Current

Senior AI Scientist

Jun 2025 - Present (1 year 5 months)

Building LLM post-training systems including long-context distributed fine-tuning, retrieval-augmented fine-tuning, evaluation, agents, and model serving. Leading the architecture and development of an enterprise fine-tuning platform.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Delhi logoID

Indian Institute of Technology Delhi

Master of Technology, Chemical Engineering

2018 - 2019

Master of Technology in Chemical Engineering from the Indian Institute of Technology Delhi from 2018 to 2019.

Indian Institute of Technology Delhi logoID

Indian Institute of Technology Delhi

Bachelor of Technology, Chemical Engineering

2014 - 2018

Bachelor of Technology in Chemical Engineering from the Indian Institute of Technology Delhi from 2014 to 2018.

Availability

Looking for a job

Location

India

Authorized to work in

Salary expectations

140k+ INR

Job categories

Skills

LLM Post Training
SFT (Supervised Fine Tuning)
LoRAsDORAQLoRA
Retrieval Augmented Fine Tuning (RAFT)
Direct Preference Optimization (DPO)
GRPO
Reward Design
Distributed Training
Multi GPU Training
Sequence Parallelism
Data Parallelism
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