Team
GeekPowerX5
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Status: Submitted
Last saved: December 11 at 9:31 PM CST
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Eimis Pacheco Team Lead RSVP Approved
AI Engineer & Data Engineer at Oliver wyman
Creating Browser extension, creating tools and integtation
Eimis Pacheco is a senior medical analytics data engineer at Pfizer in Austin, Texas. With over 15 years of experience and an a Master’s in Data Science and Big Data from Universidad Cenfotec, he merges deep data‑engineering and AI expertise. Eimis builds ETL pipelines and applications for healthcare and biopharma using Databricks, Spark, PySpark, Snowflake, AWS services such as S3, Glue, Redshift and Lambda, Delta Lake, Python, SQL and advanced data modeling. His recent focus includes generative AI, retrieval‑augmented generation, vector databases, and integrating TensorFlow, PyTorch and Hugging Face models, alongside graph databases and Tableau visualizations.
Data engineering & ETL, Databricks/Spark/PySpark, Snowflake, AWS data platforms (S3, Glue, Redshift, Lambda, Kinesis), Delta Lake, Python & SQL, Generative AI, Vector DBs & embeddings, Retrieval-Augmented Generation (RAGs), ML model integration (TensorFlow/PyTorch/Hugging Face), React/JavaScript & serverless backends.
Projects: Medical analytics ETL pipelines — building Databricks/Spark (PySpark) jobs, Delta Lake and Snowflake ingestion for RWD/HCP‑HCO (Veeva, IQVIA) on AWS (S3, Glue, Lambda). Neo4j graph data pipeline — graph modeling and ingestion. Generative AI & RAG prototypes — embeddings, vector DBs, Hugging Face/TensorFlow/PyTorch models, Canvas apps (Google Gemini/OpenAI) and a browser‑extension POC.
Siddhant Sharma RSVP Approved
Founder/CEO at Technoventions LLC
error correction, modifying system prompts and adding knowledge bases
Most recently worked as a Technology Specialisy in Intellectual Property & Technology at Latham & Watkins, specializing in patent litigation and prosecution. He holds a Bachelor of Engineering in Electronics and Telecommunication from Mumbai University and a Ph.D. in Electrical and Computer Engineering from Boston University, where his research focused on Digital Signal Processing. With over 5 years of experience in signal processing and machine learning, he is actively seeking roles as a technical specialist or advisor. Siddhant is also pursuing his license to practice as a patent agent before the USPTO, leveraging his expertise in software and hardware implementations related to AI, ML, and IoT technologies.
Patent analysis, NLP, Audio AI, Digital Signal Processing (DSP), machine learning (ML), artificial intelligence (AI), internet of things (IoT), software implementations, hardware implementations
Identifying an AI cloned voice from human voice