Pratik Sannakki
@pratiksannakki
I build production LLM, agentic AI, and machine learning systems that improve business decisions.
United StatesWhat I'm looking for
At AbbVie, I build and ship AI systems that turn customer, sales, and operational data into production-ready decisions. My multi-agent social media intelligence platform synthesizes signals across 20K+ accounts, reduced run costs from $6,000 to $47, and increased provider coverage from 68% to 95%.
I’ve also delivered evaluation frameworks for RAG agents, predictive growth scoring, and a learned customer-ranking pipeline with a 50% lift over baseline. Earlier, I built monitoring systems at NTT DATA and an LSTM anomaly-detection model for aircraft propulsion data at the Defense Research Development Organization.
Experience
Work history, roles, and key accomplishments
Built multi-agent intelligence systems for customer social media intelligence, cutting run cost from $6,000 to $47 and runtime from 12h to 5h. Designed evaluation frameworks and predictive models for B2B growth and customer ranking, achieving a 50% lift over baseline.
Shipped a churn-prediction model with knowledge-graph features that enabled proactive outreach, lifting model accuracy by 10% and contributing to a 300 bps retention gain.
Engineered a networking-asset monitoring platform for 10,000+ assets using Apache NiFi to ingest REST API data into InfluxDB and MongoDB.
Research Assistant and Data Science Intern
Defense Research Development Organization
Jul 2019 - Aug 2020 (1 year 1 month)
Developed an LSTM-based time-series anomaly detection model on aircraft propulsion data, reducing engine-failure risk by 20%.
Education
Degrees, certifications, and relevant coursework
Northeastern University
Master of Science, Information Systems
Pursued a Master of Science in Information Systems with a focus on Data Science, completing the program in July 2024.
Availability
Location
United StatesAuthorized to work in
Portfolio
github.com/Pratik-Prakash-SannakkiJob categories
Skills
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