Senior Full-Stack AI Engineer

Portfolio Highlights

Experience

1. 

   Full Stack AI Engineer, Constructor

   May 2025 - Present

   • Designed and developed AI-powered e-commerce search and recommendation platforms leveraging machine learning, NLP, transformer models, and large language models to deliver personalized product discovery experiences.
   • Built full-stack AI applications integrating frontend interfaces, backend services, retrieval systems, ranking pipelines, and cloud infrastructure for enterprise-scale commerce platforms.
   • Developed hybrid search solutions combining keyword retrieval, semantic search, vector embeddings, and machine learning ranking models to improve query understanding and product relevance.
   • Built AI retrieval pipelines using embeddings, vector databases, and LLM-based workflows to enhance search intelligence, recommendations, and personalized shopping experiences.
   • Engineered scalable backend services and microservices using Python, FastAPI, Java, and REST APIs to support search orchestration, ranking, and high-volume production workloads.
   • Implemented multi-stage ranking architectures combining learning-to-rank algorithms, behavioral signals, transformer-based models, and LLM-based approaches to optimize search results.
   • Developed data processing workflows for product catalogs, user interactions, clickstream events, and behavioral data to support machine learning models and recommendation systems.
   • Built and optimized APIs, caching layers, and indexing strategies to improve system scalability, reliability, and low-latency response times.
   • Deployed and maintained cloud-native AI services using AWS, Docker, Kubernetes, and CI/CD automation to support production AI workloads.
   • Collaborated with ML engineers, software engineers, and product teams to deliver production-ready AI features, scalable backend systems, and intelligent search capabilities.
2. 

   Full Stack Engineer, IT Gurus Of Atlanta

   September 2022 - May 2025

   • Designed and developed scalable full-stack applications using Java, Spring Boot, Python, FastAPI, React, Next.js, TypeScript, JavaScript, SQL, and REST APIs, integrating AI-powered capabilities and intelligent automation workflows into enterprise applications.
   • Built responsive frontend applications using React, Next.js, TypeScript, and Tailwind CSS, creating modern user interfaces for AI-driven features, data visualization, and business workflows integrated with backend services.
   • Developed secure backend services and microservice architectures using Java Spring Boot and Python FastAPI, implementing authentication, API integrations, asynchronous processing, and backend services supporting AI applications and data-driven platforms.
   • Implemented Generative AI and automation workflows using LLM APIs, retrieval pipelines, embeddings, vector search, and intelligent processing techniques to enhance application capabilities and improve user experiences.
   • Built ETL/ELT data pipelines to ingest, transform, and validate structured and semi-structured data from databases, APIs, and cloud platforms, preparing high-quality datasets for analytics and AI-powered applications.
   • Engineered cloud-native solutions on AWS using S3, Glue, Lambda, Redshift, and API Gateway, deploying scalable application services and AI-enabled workloads with optimized data processing using Parquet and Delta Lake.
   • Designed database schemas, optimized SQL queries, and implemented data models supporting transactional applications, analytics platforms, and AI-driven decision-making workflows.
   • Automated application deployments and infrastructure workflows using Docker, GitHub Actions, CI/CD, and Terraform, enabling reliable delivery of scalable full-stack and AI-powered applications.
   • Collaborated with software engineers, ML engineers, product managers, and data teams in Agile environments to deliver production-ready AI features, cloud-native platforms, and intelligent software solutions.

Core Skills

Education and Certifications

Education

Penn State University
B.S. in Data Sciences
August 2018 - August 2022

Credential Summary

10 industry certifications across cloud, data engineering, AI, and application development from AWS, Azure, Databricks, and IBM.

Certification Gallery

Swipe or use the arrows to browse certifications.

AWS Certified Developer - AssociateAmazon Web ServicesMay 2025 - May 2028Confirms ability to build, deploy, and troubleshoot cloud-native applications on AWS.Verify credential

Microsoft Certified: Azure Administrator AssociateMicrosoftOctober 2025 - October 2026Demonstrates practical Azure administration skills across identity, compute, networking, and governance.Verify credential

Databricks Accredited Databricks FundamentalsDatabricksMarch 2026Covers Databricks lakehouse fundamentals for data engineering, analytics, and collaborative workflows.Verify credential

Software Engineer CertificateHackerRankJune 2026Recognizes role-based software engineering proficiency through HackerRank's practical assessment.Verify credential

AWS Certified Cloud PractitionerAmazon Web Services2025Foundational AWS certification covering cloud concepts, services, security, and architecture.Verify credential

Building Generative AI-Powered Applications with PythonIBMJan 2026Training focused on building generative AI applications using Python and modern model workflows.Verify credential

Data Analysis with PythonIBMJan 2026Training in Python data analysis techniques, visualization, and data-driven decision making.Verify credential

Developing AI Applications with Python and FlaskIBMJan 2026Training on building AI-enabled applications using Python, Flask, and RESTful APIs.Verify credential

Python for Data Science, AI & DevelopmentIBMJan 2026Training covering Python fundamentals for data science, AI, and application development.Verify credential

AI Engineer CertificateTestDome2026Skills validation in AI engineering and programming fundamentals through TestDome.Verify credential