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Abhishek Gehlot

@abhishekgehlot

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AI/ML software engineer building real-time multimodal agents and scalable automation for product and business impact.

India

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What I'm looking for

I seek roles building production-grade AI/ML systems and multimodal agents at companies valuing scalable engineering, cross-functional impact, and measurable product outcomes.

I am an AI/ML-focused software engineer with extensive experience building real-time multimodal assistants, vector-search RAG pipelines, and production ML systems.

At Aubergine Solutions I led development of conversational AI agents and a multimodal personal assistant that reduced response times from hours to minutes and scaled to 200+ monthly client calls, and I implemented a vector DB–based face-recognition attendance system with 98%+ accuracy.

Earlier roles at Codal and Aubergine involved architecting cloud-native backends, multi-tenant platforms, and automation tools that cut manual work by hours per week and improved engagement and conversions across e-commerce and education products.

I combine practical backend, frontend, and DevOps skills with hands-on ML/LLM experience to deliver robust systems that automate workflows, improve decision-making, and drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Software Engineer - II

Aubergine Solutions

Jan 2023 - Mar 2025 (2 years 2 months)

Built real-time multimodal AI agents and conversational assistants that automated 70% of initial client interactions and scaled to 200+ monthly client calls while reducing mic-to-speech latency to <1s (p50 ~600ms).

Python LiveKit Faiss Vector Databases WebRTC Docker

Software Engineer - I

Aubergine Solutions

Jan 2022 - Jan 2023 (1 year)

Developed multimodal assistants and face-recognition systems, achieving 98%+ recognition accuracy and deploying RAG pipelines that improved decision-making efficiency by 30%.

Python OpenCV MLFlow Pandas BigQuery Django Face Recognition Vector Databases

Software Engineer

Codal

Jan 2019 - Jan 2022 (3 years)

Led backend and full-stack development for education and multi-tenant SaaS platforms, scaling a fitness app to 15,000+ MAUs and delivering projects that reduced setup and reporting effort by up to 50% and 40% respectively.

Django BigQuery AWS Firebase CI CD SQL

Education

Degrees, certifications, and relevant coursework

Ganpat University

Bachelor of Technology, Computer Engineering

2015 - 2019

Activities and societies: NSS Secretary – Senior Volunteer; presented research at Shodh GNU Research Convention; participated in AIU Zonal Youth Festival.

Completed a Bachelor of Technology in Computer Engineering with coursework and projects in software engineering, AI/ML, and embedded systems.