At Innodata Inc., I engineered supervised fine-tuning and RLHF workflows for Gemini, Kimi, and transformer-based LLMs, improving response quality by 12% on internal benchmarks. I also built LLM-as-judge rubrics to catch quality regressions between model versions before deployment.
Looking for a job
Akash User
@akashuser24
AI Engineer at Innodata Inc. fine-tuning LLMs and building evaluation workflows that catch quality regressions before deployment.
IndiaExperience
Work history, roles, and key accomplishments
Engineered SFT and RLHF workflows for fine-tuning LLMs, ran LoRA/QLoRA ablations, and built LLM-as-judge evaluation rubrics to catch quality regressions before deployment.
FS
Automated lead-qualification workflows with Power Automate and Microsoft Dynamics 365, cutting manual processing time by 40%. Qualified over 1,000 leads to support a $200K+ revenue pipeline.
Education
Degrees, certifications, and relevant coursework
VV
Vellore Institute of Technology (VIT), Vellore
B.Tech, Computer Science and Engineering
Grade: 8.2/10
Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 8.2/10.
Tech stack
Software and tools used professionally
Availability
Looking for a job
Location
IndiaAuthorized to work in
Website
github.com/AkashRaj777Portfolio
github.com/AkashRaj777Salary expectations
70k+ INR
Social media
Job categories
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