Jeya Al
@jeyaal
I build production AI agents, RAG systems, and unattended automation pipelines.
What I'm looking for
I've delivered production AI automation for Magnivo.ai, Begig, LOMK, and Elpros, building multi-agent systems that connect LLMs, APIs, databases, and operator workflows end to end.
At Magnivo.ai, I built a five-agent B2B GTM pipeline covering lead generation, enrichment, deterministic scoring, account intelligence, and market sizing. My systems prioritize auditability, fault tolerance, idempotency, and clear operational handover for client teams.
For Begig, I shipped unattended podcast and content-intelligence pipelines in n8n, turning daily inputs into published episodes, newsletters, PDFs, and research briefings without manual steps. For an immigration law firm, I built a FastAPI call-intake application used daily by front-desk agents to transcribe recordings and extract structured case data.
My background in enterprise RPA includes reducing manual effort by 70% for Citi and delivering automation solutions at Deloitte UK and Cognizant. I now apply that production mindset to agentic systems, hybrid RAG, local-LLM orchestration, and client-ready AI integrations.
Experience
Work history, roles, and key accomplishments
AI Agent Engineer
Magnivo.ai
Jan 2025 - Dec 2026 (1 year 11 months)
Designed and shipped a 5-agent B2B GTM pipeline including lead generation, enrichment, deterministic scoring, and market intelligence agents, with measurable outcomes such as a 70% reduction in manual effort at a Tier-1 bank.
Education
Degrees, certifications, and relevant coursework
Bannari Amman Institute of Technology
Bachelor of Engineering, Computer Science and Engineering
Grade: 9.09/10 CGPA
Pursued a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 9.09 out of 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/JeyaAlagappanSalary expectations
Job categories
Skills
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