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Vipransh Agarwal

Vipransh Agarwal

AI Engineer
📍 Delhi, India · (0) · Member since April 2026
Availability
🏠 Works remotely / from home Yes No
🧰 Travels to client Yes No

Presentation

I am a GenAI Engineer with 2+ years of experience building agentic RAG systems, LLM-orchestrated agents, and scalable backend systems for enterprise clients. Skilled in Python, FastAPI, LlamaIndex, and AWS. Delivered impactful AI solutions across real estate intelligence, smart surveillance, workplace automation, and bus management systems. Passionate about turning cutting-edge AI research into reliable, production-ready products.
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Offered services

1 service
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Background

Technical Consultant (AI)
Texspand Technologies · 16/11/2025 – Today
● Developed an automated commercial property intelligence tool to identify value-add commercial real estate opportunities in Western Australia.
● Implemented a multi-source scraping mechanism, a 9-rule multi-pass filtering pipeline with fuzzy deduplication, and a weighted composite scoring system (0-1) to evaluate property potential.
● Automated daily delivery of a comprehensive Excel report, including prioritized value-add listings and an auditable log of excluded properties, to key stakeholders.
AI/ML Software Engineer
Aeoru Enterprises · 16/06/2025 – 06/11/2025
● Developed backend architecture for AI powered NVR systems deployed on Sophon and Rockchip edge devices to support smart surveillance at bus stations in cities such as Bangalore, Hyderabad, and Chennai.
● Built AI pipelines that detect vandalism and suspicious activities, providing actionable intelligence to law enforcement and municipal authorities.
● Designed system architecture for a government backed AI Bus Management System, providing route optimization, improved driver and staff management and city scale transport efficiency
GenAI and Machine Learning Engineer
Ekai · 23/05/2024 – 15/05/2025
● Built core components of an agentic RAG system powering a Slack-based digital twin, enabling autonomous, context aware workplace assistance.
● Engineered scalable backend infrastructure, contextual retrieval with LlamaIndex, Redis caching, and data pipelines, driving feature innovation and product direction.
● Contributed to securing Ekai’s first major client by delivering a robust, high-impact platform that demonstrated technical depth and reliability.
Computer Science Engineering
Jaypee university of Information Technology · 2020 – 2024
🇬🇧English 🇮🇳Hindi
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Working hours

Monday
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday ▪ Today
Closed

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