
jani basha
@janibasha
I build production RAG systems, AI agents, and forecasting models that increase sales for home service companies.
What I'm looking for
I've built production AI/ML systems for US home service companies, including RAG pipelines, AI agents, forecasting models, and NLP products that drive measurable revenue outcomes.
At FreeAgency.ai, I built a RAG system for unbooked CSR calls that increased booking rates by 25% across 50 companies. I also deployed a LangGraph AI CMO Agent that generated marketing analysis and executed campaign changes, delivering an average 20% sales increase.
At CxC.ai, I created audio-to-transcript RAG pipelines for technician coaching, improving close rates by 18% across 50 companies and reducing analysis time from days to hours. I also built a Pricebook AI Agent that compressed manual pricing work from a full day to minutes.
Previously at Datacube.ai, I deployed forecasting, anomaly detection, and NLP review-classification systems for 100+ companies. My models delivered an average 22% sales lift and reduced negative reviews by 70% within six months.
Experience
Work history, roles, and key accomplishments
AI Engineer II
FreeAgency.ai
Jan 2024 - Present (2 years 8 months)
Designed and built a RAG system to analyze unbooked CSR calls, increasing average booking rate by 25% across 50 companies. Architected an AI CMO Agent using LangGraph that delivers executive-level marketing analysis and executes campaign changes, resulting in a 20% average sales increase.
Machine Learning Engineer
CxC.ai
Jan 2023 - Present (3 years 8 months)
Built an end-to-end Audio to Transcript to RAG pipeline for technician coaching, improving close rate by 18% across 50 companies. Developed a Pricebook AI Agent using LangChain that compresses manual pricing processes from a full day to minutes, increasing sales values by 15%.
Machine Learning Engineer
Datacube.ai
Jan 2021 - Dec 2023 (2 years 11 months)
Trained and deployed time-series forecasting models for revenue and sales prediction, delivering an average 22% sales lift across 100+ companies. Built an anomaly detection system and an NLP text classification pipeline that reduced negative reviews by 70% within 6 months.
Education
Degrees, certifications, and relevant coursework
Rajiv Gandhi University of Knowledge and Technologies
Bachelor of Technology, Computer Science Engineering
Grade: 8.5/10
Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 8.5 out of 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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