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Amey BhatAB
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Amey Bhat

@ameybhat

I build agentic AI, RAG, and cloud systems that automate high-impact customer workflows.

India
Message

I've built agentic RAG platforms, AI call agents, and multimedia pipelines at Avyott, Cloudesign, MarkyticsAI, and SquadStack. At Avyott, I built an AI-powered call agent across web, Telegram, and WhatsApp that served 100+ concurrent users, using Twilio, Deepgram, self-hosted Qwen, FastAPI, Redis, and AWS.

I've also reduced pipeline processing time by about 40% through a DAG-based AWS orchestration system at Cloudesign, lowered video-generation costs by about 30%, and improved data audit coverage to nearly 100% at SquadStack. I enjoy building practical AI products end to end—from retrieval, memory, and evaluation layers to APIs, cloud deployment, and customer-facing interfaces.

Experience

Work history, roles, and key accomplishments

MA

Software Engineer

MarkyticsAI

Jun 2026 - Sep 2026 (3 months)

Refactored a monolithic calling service into a config-driven architecture with pluggable providers, enabling blaster and IVR modes. Implemented dynamic multilingual switching and LLM-driven code-mixed script generation, plus CLI tooling and a Web Calling SDK.

CL

Software Engineer

Cloudesign

Nov 2025 - Apr 2026 (5 months)

Architected a queue-based batching mechanism with a DAG-based orchestrator using SQS and AWS Lambda, reducing pipeline processing time by ~40%. Built an end-to-end multimedia pipeline for video, audio, and flyers, and developed ingestion pipelines for clinical trials data.

SQ

Software Engineer Intern

SquadStack

Jan 2024 - Sep 2024 (8 months)

Built cron-based Snowflake pipelines boosting data audit coverage to ~100% and automated language tagging in Django, reducing processing time by 75%. Integrated OpenAI into onboarding via AWS Lambda and built an LLM-based summariser with BERT scoring.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

Bachelor of Technology, Computer Science (Data Science)

2020 - 2024

Grade: 8.94 CGPA

Pursued a Bachelor of Technology in Computer Science with a focus on Data Science, achieving a CGPA of 8.94.

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