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Neelam JanageryNJ
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Neelam Janagery

@neelamjanagery

I build Python automations and LLM-powered workflow systems that replace manual processes with end-to-end AI.

India
Message

What I'm looking for

I’m looking to build LLM-powered workflow automation in a hands-on, end-to-end environment—shipping reliable AI pipelines with Python, n8n, and OpenAI—while partnering with stakeholders to replace manual work and improve operational speed.

I’m a technology professional with 6+ years building Python-based automation systems, REST APIs, and data pipelines across telecom, HR-tech, and data engineering domains. I like turning messy, multi-step workflows into structured, testable pipelines that teams can trust.

Today, I’m focused full-time on Generative AI and LLM-powered workflow automation, with hands-on builds using OpenAI APIs, n8n, and prompt engineering. I consistently deliver end-to-end AI workflows that cut operational overhead and accelerate delivery cycles.

In my recent work, I built multi-step n8n automations integrating OpenAI APIs for content generation and task routing, eliminating manual hand-offs across recurring business processes. I also designed trigger-based orchestration with n8n event hooks and REST connectors to automate conditional branching logic, and I use reusable prompt templates with role-based context injection to improve consistency.

From there, I’ve extended automation into product-focused outcomes—like my telecom plan optimization MVP that parses recharge plan data and user consumption patterns to surface cost-optimized options through an API-first interface. Previously, I authored end-to-end technical documentation and built AWS pipelines (Redshift, Glue, S3), developed FastAPI REST endpoints with CRUD and role-based access control, and integrated web scraping pipelines to feed cleaned datasets into reporting dashboards.

Experience

Work history, roles, and key accomplishments

Accenture logoAC

Network Service Associate

May 2020 - Jun 2023 (3 years 1 month)

Monitored and maintained database servers across a multi-region network, resolving performance incidents and reducing average downtime per quarter. Automated log parsing and alert triage and produced weekly stakeholder reports summarizing system health metrics and incident trends across 50+ monitored nodes.

Education

Degrees, certifications, and relevant coursework

KLE Technological University logoKU

KLE Technological University

Bachelor of Engineering, Automation & Robotics

Completed a B.E. in Automation & Robotics at KLE Technological University.

GW

Government Polytechnic for Women

Diploma in Electronics & Communications Engineering, Electronics & Communications Engineering

Completed a Diploma in Electronics & Communications Engineering at Government Polytechnic for Women.

Tech stack

Software and tools used professionally

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