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vivek26032000

Vivek Bhatt

@vivek26032000

AI Engineer specializing in GenAI, RAG systems, and Python automation

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I'm Vivek, a Python developer focused on AI and automation. I recently graduated in Computer Science and spent the last year interning across a few companies, building things like an AI voice hiring bot, a RAG-based Q&A system, and a voice-based patient call assistant. I work mainly with LangChain, OpenAI and Anthropic APIs, vector databases like ChromaDB and Pinecone, and I deploy everything using FastAPI, Docker, and cloud platforms like AWS and GCP. If you need an AI chatbot, an automation workflow, a full-stack application, or help wiring up an LLM into your product,... Mehr lesen

Kompetenzen

v
vivek26032000
Vivek Bhatt
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Implementierung und -Bereitstellung
I will build custom ai agents and rag powered chatbots
Ab10 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Darwish_Engineering Emirates

AI Engineer

Darwish Engineering Emirates • Teilzeit

Feb 2026 - May 2026 • 3 mos

Built and scaled an AI voice screening platform from a single Sales Hiring Agent into a multi-role hiring framework (5+ roles), integrating Vapi, Twilio, and Django REST backends for real-time candidate evaluation and automated call routing with 90%+ call reliability, cutting manual recruiter screening effort by ~55%.

Infosys

AI engineer

Infosys • Teilzeit

Feb 2025 - Apr 2025 • 2 mos

Constructed an AI-Intelligent voice assistant (Azure OpenAI, NLP) and integrated a mobile app (React/React Native) for patient-nurse, communication, designed to improve request prioritisation and boost response efficiency in a Healthcare setting.

GlobalLogic

AI/ML intern

GlobalLogic • Teilzeit

Jul 2024 - Sep 2024 • 2 mos

Implemented a RAG pipeline integrating vector embeddings and LangChain, improving domain-specific knowledge retrieval efficiency. Combined GPT4All with LangChain to improve a conversational interface, resulting in an improvement in model response accuracy.