DEFINED.AI

Solutions Architect

August 2024 – May 2026

• Designed end-to-end technical solution architecture and presales engagements for $1M+ AI and data opportunities, covering requirements gathering, POC development, reference architecture design, technical scoping, cost modeling, workflow design, risk analysis, and SOW preparation across Fortune 500 and high-growth enterprise clients in AI, cybersecurity, cloud, and conversational AI.
• Owned the proposal lifecycle for data collection, annotation, and evaluation projects, translating client use cases into data requirements and end-to-end AI solutions; served as creator and owner of the Solution Architecture document for flagship enterprise clients across speech/ASR, TTS, NLP, computer vision, and conversational AI domains.
• Scoped and delivered 75+ enterprise technical proposals out of 100+ opportunities valued up to $2M+, spanning multimodal and multilingual data collection across speech, NLP, computer vision, and sensor data in industrial, automotive, robotics, medical, audio, video, and IoT domains.
• Contributed to a large-scale POV data-collection program for a strategic robotics client, coordinating pricing, procurement, technical requirements, and draft SOW preparation for a multimodal initiative.
• Architected and standardized the Presales operational infrastructure: Jira administration, Salesforce-Jira integration, automated SLA dashboards, JQL reporting, leadership dashboards, and reusable proposal frameworks — scaling the team from 2 to 7 members.
• Engineered a constants table and improved the cost analysis spreadsheet to standardize pricing calculations, improving accuracy and accelerating proposal turnaround.
• Designed and standardized Presales artifact templates including proposals, cost sheets, execution diagrams, project timelines, and segmented All-in-One templates by project and data type.
• Built Python automation and data-analysis tools including a partner-dataset web scraper, an OTS dataset filtering/recombination script, marketplace metadata analysis scripts, and a Japanese language frequency analyzer — bypassing 2–5 day operations bottlenecks and earning VP-level trust as the go-to technical resource.
• Onboarded within days to independently manage 14 concurrent enterprise opportunities in week one; consistently maintained a rotating portfolio of 20–30+ active opportunities while meeting SLA commitments.
• Co-developed a go-to-market campaign for the video game industry with an Account Executive, generating 5+ opportunities with Fortune 500 gaming and entertainment clients within ~2 weeks of launch.
• Served as the most tenured Solutions Architect (18 months) and de facto technical lead, training and mentoring the majority of the SA team as it scaled from 2 to 7.
• Received Exceeded Expectations ratings across Technical Skills, Quality of Work, and Problem-Solving.

LEADSPACE

Professional Services Engineer

January 2022 – May 2024

• Prevented customer churn and generated $750K+ in upsell opportunities by delivering customized technical solutions through rapid problem diagnosis, creative pipeline development, and proactive stakeholder communication.
• Rescued a poorly scoped, at-risk enterprise account from churning and converted it to renewed and upsold business, directly contributing to a $200K+ upsell by developing custom code and a unified golden-record post-processing pipeline.
• Refactored legacy Airflow DAGs and real-time data pipeline workflows, reducing technical debt and total cost of ownership across the platform's two largest revenue-generating projects valued at $2M+.
• Built a Python-based match level confidence scoring algorithm using PySpark, Pandas, and fuzzy matching, enabling clients to assess data record reliability and prioritize high-quality leads.
• Engineered scalable ETL pipelines and automated Databricks workflows using PySpark, Pandas, SQL, Kibana, Jenkins, Postman, SFTP, and Google Cloud to process and validate 14M+ customer records for lead scoring, account matching, and marketing analytics.
• Created custom code to unify and de-duplicate 14M+ rows of client data from disparate systems into a single source of truth using collapsed golden records.
• Deployed and maintained Databricks workflows automating daily data refreshes, aggregating lead generation metrics, and monitoring data quality violations.
• Developed data quality analysis and preprocessing tools in Databricks using Python, PySpark, Pandas, iPywidgets, SQL, and the Kibana Elastic API, including QA scripts and formatting scripts to clean and prepare records before pipeline runs.
• Built reusable EDA and pipeline primitives over the core Google Cloud data warehouse, reducing demo preparation and implementation costs across multiple client projects.
• Partnered cross-functionally with Customer Success, Product, and Engineering to deliver enterprise technical solutions across accounts in tech, hospitality, security, communications, and financial services sectors.
• Reverse-engineered and rescued inherited high-priority projects with no existing documentation, repairing broken datasets and de-duplicating and mapping technologies using fuzzy scoring.
• Unified 13M+ records across multiple datasets for enterprise clients, implementing custom code to match each client's downstream data format requirements.
• Contributed to hiring and onboarding: updated the technical interview, interviewed candidates, and documented standardized unification workflows for Sales, Customer Success, and onboarding teams.

APPEN

Professional Services Engineer

July 2020 – January 2022

• Developed and managed end-to-end ETL and data pipelines for AI and ML training datasets across all modalities (image, audio, video, text, sensor metadata), building Python preprocessing and postprocessing scripts and AWS-based delivery pipelines across 5 major enterprise accounts.
• Designed and implemented JavaScript, D3, jQuery, and Liquid Logic annotation task configurations and built custom UIs for AI training data pipelines, improving performance and reliability of enterprise clients' AI models.
• Developed Python OpenCV scripts for OCR processing across 25,000+ documents, converting platform annotation outputs to JSON COCO format for downstream model training.
• Engineered a Python, JavaScript, and OpenCV computer vision algorithm for persistent object tracking IDs across camera frames — extending out-of-frame tolerance from 1 second to over 1 minute and improving processing performance by 100% through multiprocessing optimization, fulfilling a requirement other vendors were unable to meet.
• Built a custom annotator review UI using JavaScript, D3, and jQuery enabling trusted annotators to validate and correct data from less experienced annotators, ensuring high-quality AI training datasets.
• Served as in-house OCR specialist, leading multiple optical character recognition pilots and developing visual algorithms in OpenCV to correct annotation errors and clean bounding boxes.
• Rescued an at-risk enterprise proof of concept by designing scalable AWS-based automated processing pipelines using webhooks and REST API integrations, clarifying technical requirements, and rebuilding client trust — resulting in a signed contract.
• Stepped in as interim hiring manager following high attrition: revamped the interview process, redesigned technical assessments, interviewed 10 candidates, hired and onboarded 5 engineers.
• Evangelized software engineering and DevOps best practices by introducing GitHub version control, implementing CI/CD pipelines, and optimizing script performance across the team.

GEORGIA TECH RESEARCH INSTITUTE

CIPHER Student Assistant

October 2018 – January 2020

• Prototyped Software Defined Network (SDN) techniques using software image OpenWrt with a Linksys WRT32X router, Open vSwitch with Raspberry Pi, and Zodiac FX OpenFlow Switch for military communication
• Implemented a keylogging program in C in order to test how efficient a program can track keyboard inputs
• Learned Linux and Python to test and interact with multiple code base for existing and future projects

ARCHER WESTERN

Project Engineer Intern

May 2018 – October 2018

• Assisted project manager on Clear Creek West Sewer Improvement Project
• Routinely surveyed jobsite and operated DJI drone to monitor quality control, safety, and project development
• Managed engineering drawings and subcontractor quantities to track project's units complete for monthly cost report

Construction Estimator Intern

January 2018 – April 2018

• Analyzed engineering drawings and Department of Transportation (DOT) parameters for quantity take-offs using the On-Screen Take-Off program
• Appraised national projects based on scope changes including revision of specifications, standards, and quantities
• Produced regular reports regarding DOT bid specifications for $100,000,000+ DOT projects
• Managed intern team by designating job roles to meet project deadlines as liaison between interns and management

TI AUTOMOTIVE

Quality Engineer Intern

May 2016 – August 2016

• Directed a team of 5+ new hires to perform quality control tests in the BMW X5 G01 gas tank trial
• Executed 10+ tests to analyze quality of tanks and filler pipes daily
• Formulated and enforced new work protocol tests to analyze quality of gas tanks and filler pipes
• Trained new employees on proper testing operations and effectively using aforementioned work protocols

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