Vetted Git Professionals

Pre-screened and vetted.

NL

Ninglan Lei

Screened

Intern Full-Stack/Backend Software Engineer specializing in test automation and web systems

Charlottesville, VA1y exp
Compassion InternationalUniversity of Virginia

Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.

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TN

Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and cloud ML

Harrison, NJ5y exp
State FarmMonroe University

GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.

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WW

William Wung

Screened

Mid-Level Full-Stack Software Engineer specializing in Odoo ERP and integrations

Buffalo, NY3y exp
OdooGeorge Mason University

Customer-facing software engineer who builds configurable, extensible solutions under vague requirements (e.g., a bin-packing-style resource allocation feature) and iterates via frequent sandbox deployments and customer testing. Has hands-on experience integrating multiple shipping APIs, navigating outdated/unclear documentation, and resolving production issues quickly through log-driven debugging and safe rollback procedures.

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TK

Tanish Katial

Screened

Junior Robotics Engineer specializing in motion planning, controls, and autonomous systems

Boston, MA1y exp
Boston UniversityBoston University

Robotics engineer who built an autonomous driving mobile robot software stack at Boston University using ROS on an NVIDIA Jetson Nano, integrating LiDAR + stereo vision with YOLOv5 and a probabilistic occupancy grid for planning. Demonstrated real-time systems rigor (multi-rate ROS nodes, 50ms sync, profiling/instrumentation) and optimized YOLOv5 with TensorRT, citing ~30% accuracy improvement; also taught ROS workshops to 50+ students.

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VN

Vasanthi N.

Screened

Senior AI/ML Engineer and Data Scientist specializing in Generative AI and MLOps

Los Angeles, CA9y exp
Pacific Community BankAurora University

ML/NLP practitioner focused on financial-services document intelligence and compliance workflows—built an end-to-end pipeline to classify documents and extract financial entities from loan applications, emails, and statements stored in S3/internal databases. Strong in entity resolution/record linkage and in productionizing pipelines with GitHub Actions CI/CD, testing, data validation, and Docker, plus semantic search using OpenAI embeddings and a vector database.

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HK

Mid-level Data Analyst specializing in cloud ETL, BI, and machine learning

Texas, 752235y exp
UnitedHealth GroupUniversity of Texas at Arlington

Data/ML practitioner with experience at UnitedHealth Group building a fraud claims detection solution combining structured claims data and unstructured notes, validated with compliance stakeholders to improve actionable accuracy. Also applied embeddings, vector databases, and fine-tuned language models in a Bank of America capstone to detect threats/anomalies in financial documents, with production-minded Python ETL workflows using Airflow.

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SS

Junior Software Engineer specializing in AI agents and full-stack cloud systems

Irvine, CA1y exp
OrangePeopleUC Irvine

Backend-focused engineer who has built and refactored FastAPI services backed by MongoDB, emphasizing async concurrency, stateless design for horizontal scaling, and performance tuning via indexing and request-level timing. Has implemented production authentication patterns (JWT, SSO, OAuth2 + PKCE) and user/org-scoped access controls, and improved reliability of LLM document-extraction APIs with fallback mechanisms.

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UO

Principal Data Scientist specializing in Generative AI, NLP, and MLOps

San Francisco, CA12y exp
CognizantUniversity at Buffalo

ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.

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MA

Maaz Ahmed

Screened

Mid-Level Software Engineer specializing in backend and distributed systems

Parsippany, NJ3y exp
ADPArizona State University

Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.

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VJ

Mid-level Full-Stack Java Developer specializing in FinTech and real-time systems

TX, USA5y exp
State StreetUniversity of North Texas

Backend/full-stack engineer with finance domain experience (State Street) who built and shipped a Kafka-based real-time trade validation system handling 50k+ trades/sec and cut latency by 42%. Also delivered real-time React dashboards (Redux Toolkit/React Query/WebSockets) and operates AWS EKS microservices with GitOps/ArgoCD; has built a FastAPI + LangChain/GPT-4 intelligent document processing service with JWT/RBAC.

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AC

Anuja Chivate

Screened

Mid-level Software Test/Quality Engineer specializing in automation and server platform validation

Fremont, CA5y exp
Quanta ComputerSan Diego State University

QA/automation engineer with hands-on experience spanning web UI automation (Cypress/JavaScript) and hardware/firmware validation (BIOS/BMC, FPGA). Has delivered high-impact reliability and throughput improvements in server/HPC environments, including automation that enabled booting across ~250 servers and requirement clarification that unblocked firmware work for ~550 servers.

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SB

Sai Bollina

Screened

Mid-level Full-Stack Engineer specializing in FinTech and web applications

Dallas, Texas6y exp
Freddie MacOklahoma Christian University

Software engineer with experience at Freddie Mac shipping a production workflow tracking and daily summary dashboard that replaced spreadsheet/email-based operational processes. Worked across frontend (React/JavaScript), backend (Java), Oracle relational data, and CI/CD, with emphasis on stakeholder collaboration and post-deploy testing/monitoring/performance tuning.

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DS

Danaid Sinani

Screened

Intern Machine Learning & Full-Stack Engineer specializing in OCR and AI document pipelines

Boston, MA2y exp
Massachusetts Registry of DeedsBoston University

Full-stack product engineer who has shipped polished customer-facing experiences across iOS (SwiftUI), web (Next.js/React/TypeScript), and Python backends. Built systems ranging from an escalating smart-reminder engine to a sub-200ms search UI over 6M+ court records, and owned AWS production operations including resolving a real DB-connection-exhaustion incident with scaling and architectural hardening.

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AG

Anusha Gali

Screened

Mid-level QA Automation Engineer specializing in UI/API test automation and CI/CD

Boston, MA4y exp
One CommunityNortheastern University

QA automation engineer who owned an end-to-end test suite for a financial payments application, building cross-layer E2E coverage (UI/API/DB) and integrating it into CI with smoke-on-commit and nightly regression. Caught high-impact issues including duplicate payments caused by missing idempotency in backend retry logic and an RBAC authorization gap, and has hands-on experience stabilizing flaky Cypress tests via network-call synchronization.

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KO

Karthik O

Screened

Mid-level AI Software Engineer specializing in LLM systems and cloud APIs

Kansas, USA3y exp
DeloitteUniversity of Central Missouri

Built and productionized an LLM-powered support/knowledge pipeline using embeddings and retrieval (RAG) to deliver more grounded, higher-quality responses while reducing manual effort. Focused on real-world reliability and performance—adding structured validation/guardrails, optimizing vector search and context size for latency/scale, and monitoring failure patterns in production. Experienced with orchestration via LangChain for LLM workflows and Airflow for production data/ML pipelines, and iterates closely with operations stakeholders through demos and feedback.

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HS

Mid-level Full-Stack Engineer specializing in cloud data platforms and LLM-powered apps

New York City, NY4y exp
CenteneUniversity of Maryland, Baltimore County

Full-stack engineer with healthcare and finance experience who has owned end-to-end production systems across Azure and AWS. Built a real-time clinical dashboard at Centene (React + FastAPI + Azure Event Hubs) that cut data latency from ~12 minutes to under 1 minute and was associated with a 30% reduction in intervention delays. Also delivered MVPs in high-ambiguity environments at Accenture during monolith-to-microservices migration, improving uptime and maintainability with measurable results.

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GH

Glen Heide

Screened

Senior Software Engineer specializing in developer tools, automation, and game pipelines

Valley Center, CA20y exp
Playable WorldsBritish Columbia Institute of Technology

Game/tools-focused QA professional with experience at Playable Worlds, Disney, and Metaplace, emphasizing CI-driven quality (Jenkins PR gating, unit tests, Slack/JIRA visibility) in live production environments. Has hands-on defect isolation experience using developer tools to diagnose hard-to-repro player issues and improve turnaround by providing reliable repro steps and clear QA workflows.

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JM

Mid-level Data Scientist / ML Engineer specializing in FinTech and Healthcare ML systems

4y exp
FiservSan Diego State University

AI/LLM engineer who has shipped production RAG systems (including a 250K-document compliance knowledge tool on AWS) and focuses on reliability via citations, guardrails, and rigorous evaluation (Ragas/Opik/DeepEval). Also built a LangGraph-orchestrated webcrawler agent that cut research paper extraction from hours to minutes, and collaborated with clinical teams to deliver patient volume forecasting with an optimization layer for staffing.

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AB

Aji Baiyewu

Screened

Senior Application Security Engineer specializing in Cloud Security and DevSecOps

Austin, TX10y exp
CTSTexas A&M University

Infrastructure/DevOps engineer with strong production ownership across AWS and Kubernetes, including leading real outage recoveries and building governance-heavy IaC/CI/CD in regulated environments. Has designed DR failover testing programs and implemented policy-as-code and peer-reviewed deployment gates to prevent repeat incidents; experience cited at Rackspace, Strategic Systems, and CTS.

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VS

Vinay shetty

Screened

Mid-Level Java Full-Stack Developer specializing in cloud-native microservices

4y exp
Huntington BankUniversity of North Texas

Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.

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KT

Kavita Tamire

Screened

Mid-level Data Engineer specializing in AWS cloud data platforms

California, USA3y exp
Charter CommunicationsUniversity of South Florida

Data engineer with Charter Communications experience modernizing large-scale AWS data lake pipelines: ingesting S3 data, validating against legacy systems, transforming with PySpark/Spark SQL, and serving via Iceberg/Delta tables. Worked at 50M–300M record scale, delivered >99.5% data match, and built monitoring/alerting (CloudWatch/SNS) plus retry orchestration (Step Functions) and data quality gates (Great Expectations).

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Arunkumar Gangula - Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices in Tempe, Arizona

Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices

Tempe, Arizona11y exp
Arizona State UniversityArizona State University

Product-minded full-stack engineer from CouponDunia who owned end-to-end notification and recommendation services at million-user scale. Built internal admin/analytics and operations dashboards in React/TypeScript with typed contracts and scalable Node.js REST APIs, and has deep microservices experience with Kafka/RabbitMQ (idempotency, retries/DLQs, partitioning, consumer tuning, and observability).

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Hleb Rahoisha - Senior Unity/C# Developer specializing in mobile and VR games in Warsaw, Poland

Hleb Rahoisha

Screened

Senior Unity/C# Developer specializing in mobile and VR games

Warsaw, Poland7y exp
PlaytikaBelarusian State University

Unity gameplay engineer with hands-on experience spanning AI behavior-tree architecture (Behavior Designer), authoritative multiplayer networking (Photon/Mirror), and aggressive VR (Meta Quest) optimization. Built designer-friendly tooling (Excel-driven balancing, prefab automation bridging Marvelous Designer/Blender/Unity) and has experience mentoring juniors within an entity/HMVC-based architecture at Playtica.

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