Emil Fine

AI Strategy & Governance: Partner with Product and Operations leadership to identify high-impact AI use cases, conducting deep technical feasibility studies, market research, and “build vs buy” analyses to drive data-driven architectural decisions, for > 22k scholars and teachers in NYC Engineering Enablement: Collaborate with AI Engineers to accelerate dev cycles by testing and implementing LLM eval tools for rapid prompt iteration and model benchmarking

Generated 105x ROI and reduced manual effort by 88% by automating call center audio transcription with Automatic Speech Recognition (ASR) and analysis with AI for a multi-million dollar lead qualifying agency. Increased output by 200% for technical submissions by building a proprietary knowledge base, searchable via a hybrid RAG knowledge base with hierarchical chunking, automated metadata and keyword generation, parent-child relationships, and a knowledge graph, that returned highly relevant paragraph-level citations, and result evaluations. Building a community around GenAI Education and business innovation. Reduced manual effort by 80% by creating a lead-qualifying AI voice bot for a multi-billion dollar mass tort law firm. Reduced manual effort by 80% and increased output by 5x with an automated AI customer service for Shopify order status requests. Build bulk AI Video generation automation, reducing manual effort by 90% for creating ideas, text, images, scenes, and stitching everything together. Designed AI automation to clip long-form video into multiple short-form video and create AI content for various social media platforms with deep financial analysis Built character.ai clone MVP Building AI chatbot and image generation bot with unlimited historical context to roleplay as celebrities (licensed only) or custom personalities while keeping costs minimal. (AWS, Cohere, OpenAI, Python, HTML/CSS, TeleportHQ, Mistral, Stable Diffusion/Fooocus/ComfyUI, Classify/Intent, VectorDB/Similarity Search, Runpod, Replicate, APIs). Automation Tools: AWS Lambda, Google Cloud Function, Zapier, Make, N8N Coding Tools: Cursor, VS Studio, Bolt.New, Bolt.DYI, Coding AI Models: Claude 3.7, Gemini Pro 2.5, Grok3 Video Models: KlingAI Chabots: Grok3, Claude 3.5, Gemini, ChatGPT 4o Voice Models: 11Labs, Playhq Transcription Models: Deepgram, Vosk Platforms: Flux, ComfyUI

Led cloud migration to Google Cloud Platform (GCP) and development of ETL data pipelines to support AI/ML and business intelligence solutions for +60 use cases Linguistic Program Manager: Implemented global ASR AI transcription, summary, and sentiment workflow, increasing sentiment survey completion rates from 7% to 100%, reducing post-call agent work, and improving customer experience between call transfers Enabled real-time call data analytics, reducing processing time from 8 hours to real-time, saving 10% in call center costs and $1M in OPEX Ie, Speech to Text (STT), ASR, NLP, Sentiment Analysis, GenAI, OpenAI, Tableau, Data Ingestion, Data Transformation, Predictive Analysis, Product Recommendations, LLMs, RAGs, Chatbot, ChatGPT, Summarization

Technical product and program management for a data movement platform (on and off prem for batch and streaming data) to reduce data time-to-market by 60%, and realize cost savings of +$30MM Direct code contribution (HTML, HUGO) following DevOps best practice standards to improve quality, communication and marketing of our client website. Completed 200 hours of Java, Spark, Data Engineering, and AWS Cloud and Database training in 2021 Certified AWS Solutions Architect Associate Java, Spark, HDFS, Kubernetes, Kafka, Kerberos, Cucumber, Maven, AWS

Emil was in charge of piloting a 3 scrum team transition from 2-week Scrum to Kanban/Continuous Development and challenge the existing standards. The result was a tricky balance between improved code delivery to production, collaboration and burnout.

Built a team of 8 for communications, process re-engineering, automation and data analysis initiatives for >3000 clients Designed and standardized digital data capture process to measure KPIs Designed and automated processes resulting in savings of 95% (Excel/VBA & Python) Created a personalized and automated client engagement model to improve UX and engagement

Lead 4 global scrum teams to implement enterprise AML/KYC platform Collaboration lead between 8 businesses and 5 technology teams to author epics and story requirements Activities: built roadmap, backlog management, conducted analysis, user testing, implementation, product demos, JIRA dashboard management, reporting management, and agile adoption for various products Supervised and mentored business analysts Tools: JIRA, Confluence, Blueprint, Splunk, Gherkin/Cucumber, Behavior Driven Development, Moneta Bootstrap, Angular.JS, Microservices

Coordinated enterprise-wide risk assessment exercises Managed multi-million-dollar international vendor relationship by coordinating a training program Coached & established communication standards to PMs to be succinct Authored technical requirements for Wealth Management products

Quantified how much of the securitized market volume consisted of Citi products for the Head of Risk and Securitized Trading Graphed information collected from multiple databases | C#.Net, SQL, XML, Visio, SSMS, Visual Studio, Excel Products: CMO, MBS, ABS, IO/PO, TBA, JV

C++ Software Development for an electron (Muon) trajectory system to test hardware quality at CERNs (European Organization of Nuclear Research ) LHC (Hadron Collider) https://emilfine.com/electron-trajectory-tracker/ Design and Develop Software with ROOT based C++ Object-oriented programming. Software takes in multiple data files from DAQ (Data Acquisition System). Calibrates data, plots into coordinates, applies polynomial fitting, and provides detector statistics.

Confirmed hypothesis of Supercritical CO2 effects on reservoir rock for Enhanced Geothermal Systems Utilized National Synchrotron Light Source x14a, Fourier Transform Infrared Spectroscopy.

Designed and Produced a laser capable of focusing down between 1.0 and 0.1 micron in diameter for testing $100k digital camera sensor candidates for the LSST (Large Synoptic Survey Telescope) https://emilfine.com/micron-laser-research-paper/ Research paper submitted to Intel National Competition | AutoCAD

Specialized in Business and Economics