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Sanchit SharmaSS
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Sanchit Sharma

@sanchitsharma

Applied AI Engineer | LLMs | Agentic AI | RAG | Backend Systems

Canada
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At Lume AI, I built an MCP-based low-code orchestration platform for LLM agents to run API integrations, browser automation, and custom tools. I also developed an integration framework supporting 33+ external services, with production monitoring and agent tracing.

At TransHumanity, I designed a Python ingestion platform processing 1M+ real-time events weekly and built RAG pipelines using OpenAI embeddings and FAISS. I developed microservices and multi-agent workflows for TraffEase, a Manchester Prize finalist platform.

At ACTO, I designed Python- and SQL-based data pipelines that automated reporting workflows, reducing recurring reporting effort by 100+ hours per month. I also developed XGBoost models for upsell forecasting and customer segmentation, contributing to an 8% increase in conversion rates.

Experience

Work history, roles, and key accomplishments

LA

Applied AI & Backend Engineer

Lume AI

Apr 2025 - Dec 2025 (8 months)

Built an MCP-based low-code orchestration platform enabling LLM agents to execute API integrations, browser automation, and custom tools with OAuth authentication, scoped permissions, and sandboxed execution. Developed an observable integration framework supporting 33+ external services with authentication, cost tracking, Dockerized deployment, production monitoring, and agent tracing.

TR

Agentic AI Engineer

TransHumanity

Jan 2025 - Aug 2025 (7 months)

Designed a real-time Python ingestion platform integrating REST APIs, custom web scraping, validation, caching, and indexed retrieval across UK traffic, incident, and news sources, processing 1M+ real-time events weekly. Built RAG pipelines using OpenAI embeddings and FAISS, delivering semantic search with sub-3-second query latency and under-5-minute data freshness.

AC

Data Analyst & Backend Engineer

ACTO

Sep 2021 - Dec 2024 (3 years 3 months)

Designed and maintained Python- and SQL-based backend data pipelines, automating MySQL, Salesforce, and Tableau ETL workflows that reduced recurring reporting effort by 100+ hours per month. Developed scalable backend services and analytics workflows powering governed dashboards and KPI reporting for a $4M enterprise portfolio, supporting major pharmaceutical customers including Gilead and AstraZe

Education

Degrees, certifications, and relevant coursework

RU

Ryerson University

Bachelor of Applied Science, Mechatronics Engineering

2011 - 2017

Bachelor of Applied Science in Mechatronics Engineering from Ryerson University, completed in 2017.

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