
Vipransh Agarwal
Delhi, India
Vipransh Agarwal
AI Engineer
Category : Artificial intelligence (AI)
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.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- AI & GenAI Engineer | Agentic RAG Systems, LLM Agents & Scalable Backend | 2 Yrs Enterprise Experience10 $ - Per hourI build production-ready AI systems that actually work and not just demos. With 2 years of hands-on experience across startups and enterprise clients, I specialize in Agentic RAG (Retrieval-Augmented ...
● 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.
● 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.
● 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
● 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
● 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.
● 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.
- 🇬🇧 English
- 🇮🇳 Hindi
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