Prithviraj Jadhav
Summary
AI Engineer with over 8 years of experience in Deep Learning, Natural Language Processing, Computer Vision, Data Engineering. Proven track record in designing, developing & implementing ML & AI projects from scratch. Adept in full-stack MLOps workflows, from data pipelines to model inference APIs.
Overview
8
8
years of professional experience
Work History
Associate Manager
Accenture
02.2022 - Current
- Designed an alert prioritization & summarization engine for a major bank. Summarizes the alert and explains the drivers using an LLM fine tuned with QLoRA & deployed on vLLM, Spark & Airflow. Significant reduction in analyst AHT.
- Designed an RAG tool to create mock data using an LLM. Optimised using KV caching for inference. Deployed using Milvus vector DB & LangChain with Docker. 36% reduction in model serving latency.
- Designed a company profiling tool that fetches data from multiple sources and creates a comprehensive report. Deployed using LangChain and a medium-sized LLM.
- Developed a screening algorithm using Jaccard Similarity & locality sensitive hashing for Sanction Party Screening. Deployed with Prefect on Azure.
Sr. Data Scientist
UnitedHealth Group
04.2019 - 01.2022
- Developed an aspect-based sentiment analysis model using an LLM to extract NPS & Digital KPIs from chat-data to optimise customer-website engagement and reduce call center employee count/time. Resulted in 28% AHT reduction.
- Developed Call & Engagement models using output from an LLM to optimise call center employee times. Resulted in 28% AHT reduction.
- Performed Cohort Analysis, Clustering & Propensity score matching using H2O.ai & Spark (PySpark) for A/B testing. Increased website engagement by 21%.
- Fine tuned vision models in PyTorch & deployed on the web using Kubernetes, WebAssembly & C++ to automate billing, receipts and verify company charged expenses.
Data Scientist
ZS Associates
09.2017 - 03.2019
- Developed scalable Salesforce Optimization Engine for Pharmaceutical Sales Reps using Apache Spark deployed on DataBricks.
- Developed a scalable Recommendation Engine using Matrix Factorization.
- Deployed data warehousing workflow for a Fortune 500 corporation using Big Data tools Apache Spark & Apache Airflow.
Education
Natural Language Processing (Specialization)
DeepLearning.AI
12-2020
Bachelor's - Technology
Delhi College of Engineering
07.2017
AI For Medicine (Specialization)
DeepLearning.AI
01-2021
Skills
- Natural language processing
- PyTorch
- RAG
- LLM
- Vector Search
- HugginFace
- Milvus
- LoRA
- LangChain
- Python C JS
- Docker
- Kubernetes
- Apache Spark
- WebAssembly
Timeline
Associate Manager
Accenture
02.2022 - Current
Sr. Data Scientist
UnitedHealth Group
04.2019 - 01.2022
Data Scientist
ZS Associates
09.2017 - 03.2019
Natural Language Processing (Specialization)
DeepLearning.AI
Bachelor's - Technology
Delhi College of Engineering
AI For Medicine (Specialization)
DeepLearning.AI
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