I am a Senior AI/ML Engineer with 5+ years of fully remote experience delivering production-grade ML and LLM systems for US-based home services companies. I specialize in end-to-end RAG pipelines, AI agents, forecasting models, and NLP systems that drive measurable revenue growth. I have deep expertise in LangChain, LangGraph, OpenAI API, and vector databases, and I’ve shipped solutions from architecture to production deployment. I’m Top Rated Plus on Upwork with $100K+ earned and a track record of creating impact at scale.

Janibasha Shaik

I am a Senior AI/ML Engineer with 5+ years of fully remote experience delivering production-grade ML and LLM systems for US-based home services companies. I specialize in end-to-end RAG pipelines, AI agents, forecasting models, and NLP systems that drive measurable revenue growth. I have deep expertise in LangChain, LangGraph, OpenAI API, and vector databases, and I’ve shipped solutions from architecture to production deployment. I’m Top Rated Plus on Upwork with $100K+ earned and a track record of creating impact at scale.

Available to hire

I am a Senior AI/ML Engineer with 5+ years of fully remote experience delivering production-grade ML and LLM systems for US-based home services companies. I specialize in end-to-end RAG pipelines, AI agents, forecasting models, and NLP systems that drive measurable revenue growth.

I have deep expertise in LangChain, LangGraph, OpenAI API, and vector databases, and I’ve shipped solutions from architecture to production deployment. I’m Top Rated Plus on Upwork with $100K+ earned and a track record of creating impact at scale.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Hindi
Advanced
Telugu
Fluent

Work Experience

AI Engineer II at FreeAgency.ai
January 1, 2024 - Present
Designed and built a RAG system to analyze unbooked CSR calls, identifying missed booking opportunities and recovering lost revenue across 50 companies. Increased average booking rate by 25%. Architected and deployed an AI CMO Agent using LangGraph that queries live company data, generates executive-level marketing analysis, and executes campaign changes (budget adjustments, campaign additions). Delivered an average 20% sales increase across 50 companies through data-driven campaign optimization. Built end-to-end audio-to-insight pipelines (speech-to-text transcription → chunking → embeddings → vector DB → retrieval-augmented generation) tailored for long-form call recordings.
Machine Learning Engineer at CxC.ai
January 1, 2023 - Present
Technician coaching and performance intelligence platform for home service businesses. Designed and built an end-to-end Audio → Transcript → RAG pipeline to analyse technician–homeowner conversations, delivering coaching insights and job-close recommendations. 10 concurrent transcript prompts processed in under 5 minutes; close rate improved 18% across 50 companies. Reduced analysis time from days to hours, enabling real-time field coaching. Built a Pricebook AI Agent using LangChain that analyses transcripts against the pricebook, recommends implied services and pricing, and supports multi-turn conversational Q&A with long-term memory via summary guardrails. Compressed a full-day manual pricing process to minutes; sales values increased 15%. Optimised RAG pipelines specifically for long transcripts — addressed hallucination, context overflow, and retrieval precision at scale.
Machine Learning Engineer at Datacube.ai
January 1, 2021 - December 31, 2023
Data intelligence and forecasting platform serving 100+ home service companies. Trained and deployed time-series forecasting models for revenue and sales prediction, enabling goal-setting based on historical performance across 100+ companies. Built an anomaly detection system on sales and revenue data streams, alerting companies to underperformance in real time. Developed an NLP text classification pipeline to automatically categorise customer reviews, surface negative feedback, and generate targeted technician training recommendations. Reduced negative reviews by 70% across the client base within 6 months of deployment.

Education

B.Tech, Computer Science Engineering at Rajiv Gandhi University of Knowledge and Technologies, Nuzvid
January 11, 2030 - June 30, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Other