Technologies
Python, JavaScript, TypeScript, Rust, Go, C, Django, DRF, React.js, Next.js, Nest.js, Quart, Flask, Celery, PyTorch, Pandas, OpenCV, Pytest, AWS, EC2, ECS, S3, CodePipeline, IAM, PostgreSQL, MongoDB, FastAPI, Docker, Compose, Linux

Industries
Artificial Intelligence (AI), Blockchain, E-commerce, Financial Technology (FinTech), Supply Chain Management, Software Development/Engineering, Real-time Communication and Data Streaming, Fashion and Retail, Cloud Computing 

Work Experiences 

Redacted Company – Remote
Lead Software Engineer
January 2024 – Present

• Led the design and implementation of agentic systems and voice user interfaces (VUI) using Next.js and FastAPI, automating workflows that were previously resistant to digitization.

• Mentored a team of engineers on integrating real-time features into React-based frontends, enabling successful delivery of cutting-edge voice-driven workflows.

• Fine-tuned Whisper medium models using synthetic industry-specific data, increasing accuracy for recognizing domain-specific jargon from ~40% to ~80%.

• Developed real-time, bi-directional data streaming pipelines using WebSockets, OpenAI API, and LLMs, enabling responsive interactions between users and the platform.

• Established CI/CD pipelines using GitHub Actions, Docker, and AWS ECS for streamlined deployment and automation, ensuring continuous improvement in deployment efficiency.

Appreciate – Remote
Lead Software Engineer
December 2022 – July 2023

• Led the development of a fully functional prototype for improving data security and identity verification using Rust, Actix Web, and the W3C VerifiableCredential API specification.

• Developed a secure blockchain solution using Rust and the Substrate framework to manage product traceability in supply chains, ensuring transparency and authenticity.

• Secured a $2M partnership and attracted 100K+ monthly users by delivering a highly accurate fashion item recognition prototype, integrated with leading fashion systems like Global Blue and Farfetch.

• Designed and implemented a fashion recognition system using PyTorch and OpenCV, achieving ~85% recognition accuracy for extracting clothing attributes like brand, color, and type from user-uploaded images.

• Collaborated with cross-functional teams to integrate secure authentication protocols, advise on architecture planning, and address security concerns for high-value clients.

LibDib, LLC – Remote
Lead Software Engineer, Data Services
September 2021 – December 2022

• Increased test code coverage from 40% to 80% by implementing a comprehensive pytest-based testing suite for core entities, leading to significant improvements in bug detection and software reliability.

• Developed a FastAPI-based asynchronous API for data-related services, reducing response time by 90% and decreasing database query load by 65%, improving analytics and reporting performance.

• Optimized legacy system deployment processes by Dockerizing APIs and introducing Docker Compose, resulting in a 50% reduction in deployment time and enhanced scalability for future workloads.

• Engineered a distributed task queue using Celery and Celery Beat to automate the generation of invoice and order summaries, processing over 10,000 records per hour with minimal delays.

• Led the design and implementation of a modular data ingestion pipeline using Dask (Pandas superset) and Celery, optimizing data ingestion for both real-time and batch processes and reducing ingestion times by 33%.

XLR8 Development – Remote
Senior Backend Engineer
Dates not specified

• Improved API response time by 20% by designing and implementing a set of entities (classes/models) used in a FastAPI-based Async REST API, reducing server load and improving overall system performance.

• Developed a real-time communication (RTC) microservice using WebSockets and Pub/Sub, reducing message delivery latency by 50%, enabling near-instantaneous communication in user applications.

• Established a CI/CD pipeline using GitLab and Pytest, reducing critical bugs per release and improving deployment consistency and developer productivity across the team.

• Implemented a “save and continue” feature in Alfred (an estate planning app) during the user creation flow, using React and Django to significantly reduce user frustration and errors during form completion.

• Delivered a new onboarding experience for users in just two weeks, utilizing React to improve user engagement and increase the user activation rate by 10%.

Cibic – Fremont, CA
Software Engineer
November 2020 – May 2021

• Contributed to the design and development of React components, enhancing the user search experience and optimizing search result accuracy using React Hooks and Material-UI.

• Built secure endpoints in Nest.js and MongoDB to facilitate seamless and encrypted voting processes, ensuring data integrity and voter privacy.

• Led the migration of a highly customized backend for a voting and social app from Nest.js/TypeORM to Django/DRF, significantly improving maintainability and developer experience.

• Implemented JWT and social login features to enhance system security and ease of use for end-users, streamlining authentication and registration processes.

• Collaborated with cross-functional teams to define API contracts, integrate backend features, and ensure smooth collaboration between front-end and back-end teams.

DecisionOne Debt Relief – Newark, NJ
Backend Engineer
May 2021 – November 2021

• Reduced customer acquisition and marketing costs by 13% by automating the cleaning and consolidation of over 2 million records per week using Python and the TowerData API.

• Improved marketing ROI by 10% by leading an offshore team to develop and publish 14+ landing pages tailored to buyer personas, using WordPress, HTML, and CSS.

• Increased client retention by 8% by designing and implementing an opt-in SMS marketing program, allowing representatives to maintain continuous communication with funding clients using Python and the Twilio API.

• Digitized operational forms using Open eSignForms, saving 5% in core operational costs and reducing the time spent on client-representative communication.

• Led efforts to integrate automated workflows, improving overall productivity and reducing manual intervention in marketing and customer communication processes.

1080 Premium Funding – Orlando, FL
Backend Engineer
May 2017 – November 2018

• Automated the entry of client information and documents into Capsule CRM, saving over 10 hours per week in manual data entry using Python, OmniPage SDK, and the Capsule API.

• Designed and implemented a virtual call center system integrated with Capsule CRM using Five9, improving representative-client satisfaction by 13.29% and significantly reducing hold times.

• Deployed AWS EC2 instances for various automation tasks, reducing commercial real estate rental costs by over $50,000 by enabling remote work and infrastructure migration to the cloud.

• Enhanced user experience by designing a real-time client communication system that improved client interaction and engagement during the funding process.

• Spearheaded process optimizations that led to substantial cost savings in operational infrastructure while improving system scalability and performance.