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Ajinkya DeshmukhAD
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Ajinkya Deshmukh

@ajinkyadeshmukh2

Staff Software Engineer at AWAAZ.AI who cut self-hosted LLM inference costs by 60% and conversational latency to 800–900ms.

India
Message

At AWAAZ.AI, I own LLM inference and real-time voice infrastructure for a platform handling 200K+ calls per day. I migrated a production Hindi collections agent from managed APIs to self-hosted SGLang inference, cutting daily inference spend by 60% without a regression in agent quality.

I also drove conversational latency from 2.5–3 seconds to 800–900ms and shipped a streaming response architecture that reduced user-perceived latency by 65%. Before AWAAZ.AI, I contributed to AI legal and contract-management products at PENSIEVE and optimized DSP and Dolby audio software at IMAGINATION TECHNOLOGIES.

Experience

Work history, roles, and key accomplishments

AW
Current

Staff Software Engineer

Awaaz.ai

Mar 2020 - Present (6 years 7 months)

Owns LLM inference and real-time voice infrastructure for a platform serving 200K+ calls per day. Led migration to self-hosted inference, cutting costs by 60% and reducing latency significantly.

IT

Software Engineer

Imagination Technologies

Jul 2014 - Mar 2016 (1 year 8 months)

Designed and optimized DSP libraries for vectorized MIPS SIMD architecture. Ported and optimized Dolby Atmos decoder modules for MIPS 34kc RISC.

Education

Degrees, certifications, and relevant coursework

College of Engineering, Pune logoCP

College of Engineering, Pune

M.Tech, Signal Processing

Completed M.Tech in Signal Processing in June 2014.

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