Advanced Machine Learn, NLP
Advanced programming on Machine Learning field with Python, SQL
Advanced Full Stack React + Redux + Express + Mongodb.
Intermediate programming on Software Engineer field with Java and C#.
Intermediate programming on Embedded System field with C and Linux.
Design and implement intelligent agent communication protocols and manage their full lifecycle.
Develop high-quality, maintainable, and testable microservices using Python or Golang, ensuring observability and reliability.
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Collaborate with algorithm, frontend, and product teams to conduct modular architecture design and technical reviews, translating business requirements into actionable engineering deliverables.
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Build and maintain technical foundations for scalable, deployable AI systems.
Write production-level code with over 90% unit test coverage, ensuring system robustness and code quality.
Built and maintained a predictive price forecast system for vehicles on CarGurus using AWS serverless architecture, enhancing market compatibility. Utilized AWS S3, Lambda, DynamoDB, Kinesis, CloudWatch, and SNS with Python and AWS CloudFormation for Infrastructure as Code (IaC).
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Enabled real-time data monitoring with AWS Kinesis to detect market price discrepancies and trigger alerts, improving operational efficiency by 80% and enhancing real-time price adjustments by 50%.
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Developed an AWS data lake pipeline in S3 with raw, cleansed, and application data layers, improving data access for the BI team by 50%.
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Orchestrated workflows with AWS Step Functions and Glue Crawlers for ETL processes, integrating Glue Data Catalog and Athena for continuous data quality checks.
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Automated alerts for pipeline failures with SNS and Lambda, reducing downtime by 30%. Created a schema change detection system to prevent data job errors, saving 60% in troubleshooting time.
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Participated in Agile development, using Git for version control and Jira for task tracking, and implemented CI/CD with Bamboo.
Supported the lead instructor by documenting key course content and processes, organizing and tutoring on topics not fully covered in lectures to enhance students' understanding of interdisciplinary knowledge and learning frameworks.
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Crafted 400-word summaries for each class on the course platform to aid in student review and engaged in follow-up office hours with students needing extra assistance to ensure their academic success.
Built an AI-driven customer growth pipeline to expand reachable outbound coverage by enriching global biotech company records with LinkedIn Data APIs and discovering verified decision-maker emails via Hunter.io (RapidAPI).
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Implemented LangChain-based LLM agent to generate structured target account profiles, assess product fit versus internal offerings, and produce prioritized analysis briefs for high-intent outreach.
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Automated personalized outbound messaging by generating account-specific product recommendations and email drafts grounded in extracted company signals (products, positioning, regions, and inferred needs), improving deliverability and reply relevance.
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Integrated NCBI E-utilities (official PubMed APIs) to retrieve product- and domain-related publications; built researcher-level profiles (topics, institutions, keywords) to support academic reachability and partnership targeting.
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Drove ~80% growth in reachable customer acquisition and eliminated manual BD research effort (~100% reduction) by automating lead enrichment, fit analysis, and evidence-grounded outreach generation end-to-end.
Led the end-to-end build of an online subscription membership distribution platform for Southeast Asia and Nordic markets, delivering product planning, technology selection, development, and go-live operations from 0 to 1.
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Established and documented an Online-to-Offline (O2O) research framework during the market validation phase, including user interviews, channel validation, and requirements tracking, producing traceable research artifacts and decision rationale.
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Managed a 30-member cross-functional team (backend, frontend, DevOps, QA, and operations), driving agile delivery and quality control to ensure key milestones were released on schedule.
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Built the core system on Nginx + Java + PHP to support high-concurrency traffic and enable multi-country, multi-currency membership distribution and order fulfillment workflows across channels.
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Integrated PayPal and Stripe for payments and settlement; designed third-party fulfillment and cash-flow mechanisms to improve payment success rates and accelerate capital turnover.
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Scaled the business during COVID-19, achieving approximately $3M in cumulative revenue.
