Vetted Software Engineers

Pre-screened and vetted.

Yat Pan Fung - Mid-level Full-Stack Developer specializing in web, mobile, and crypto trading systems in New Westminster, BC

Yat Pan Fung

Screened

Mid-level Full-Stack Developer specializing in web, mobile, and crypto trading systems

New Westminster, BC5y exp
AdTactics Marketing International LtdThe University of Hong Kong

Frontend engineer with experience building an e-commerce marketplace platform (Japan-to–Hong Kong) and designing a modular, message-queue-driven architecture for scalability and reliability. Built a high-frequency, massive-state React+TypeScript interface using Redis event streaming and JSON Patch, reporting ~10x–20x performance gains over polling/immutable approaches.

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prashansa chaudhary - Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps in Redwood City, CA

Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms and AI apps

Redwood City, CA4y exp
Stanford UniversityIllinois Institute of Technology

Software engineer who has owned customer-facing/internal platforms end-to-end, emphasizing fast iteration through small releases backed by monitoring and rollback safety. Built SurveyAI with reusable React/TypeScript components and a stateless Node.js REST backend with clear API contracts/validation, and created an internal Airflow + AWS Lambda automation tool integrated with Slack alerts to reduce manual work and improve response time.

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Prasad Krishna - Mid-level Full-Stack Developer specializing in healthcare analytics and microservices in Remote, USA

Mid-level Full-Stack Developer specializing in healthcare analytics and microservices

Remote, USA4y exp
HCA HealthcareUniversity of North Texas

Built and maintained an air-quality prediction backend in Python/Flask that serves offline-trained ML models to a React dashboard via JSON REST APIs. Demonstrates strong performance focus across the stack—low-latency inference under load, SQLAlchemy/Postgres query optimization, multi-tenant data isolation, and caching/background task strategies for high-throughput systems.

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Manvi Panjwani - Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems in San Francisco, CA

Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems

San Francisco, CA4y exp
SoftmaxClark University

Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.

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makarand pundlik - Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices in New York, NY

Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices

New York, NY2y exp
BestworkNorth Carolina State University

Software intern at BestWork who owned an AI-powered sales performance chatbot end-to-end: React/Material UI frontend, TypeScript AWS Lambda backend, and AWS Bedrock (Llama 3) + OpenSearch knowledge base over Salesforce/HubSpot data with Slack-based weekly summaries. Worked directly with the CTO in a high-ambiguity environment, including building an audio bot from scratch just in time for a client demo, and implemented metadata-based retrieval to handle multi-team knowledge base constraints.

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Shravani Koona - Junior Full-Stack Software Engineer specializing in cloud-native microservices in United States

Junior Full-Stack Software Engineer specializing in cloud-native microservices

United States3y exp
AssurantUniversity of Cincinnati

Backend/data engineer with experience at Assurant and Capgemini, focused on reliability and performance at scale. Improved high-latency backend APIs by adding and iterating on a Redis caching layer driven by CloudWatch/monitoring metrics, and built scalable BI pipelines that normalize messy multi-source enterprise data with strong observability and error handling. Familiar with LLM/RAG architecture and practical guardrails, though has not yet shipped an LLM feature to production.

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Soham Ravindra Lokhande - Junior Software Engineer specializing in agentic automation and AI platforms in Washington, DC

Junior Software Engineer specializing in agentic automation and AI platforms

Washington, DC2y exp
TakeBridgeUC Irvine

Backend-leaning founding/early engineer who built automation platforms end-to-end: FastAPI/Python services integrated with a Next.js/TypeScript frontend, including a production VNC streaming URL endpoint for cloud-instance desktop viewing. Also designed core Postgres user/workflow data models and built an agentic orchestration system with LangChain/LangGraph (sub-agents, validators, pause/resume), plus made scalability tradeoffs like S3 pre-signed uploads to keep microservices responsive.

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Ramyasree K - Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation in Boston, MA

Ramyasree K

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation

Boston, MA4y exp
Mass General BrighamAustralian National University

Frontend engineer with experience building a large-scale React + TypeScript administrative dashboard for an e-commerce platform, using Redux Toolkit plus TanStack Query to separate UI and server state. Emphasizes quality at scale through CI/CD automation, Jest/integration testing, and performance techniques like code splitting and caching, with experience coordinating integration across multiple teams.

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Srichandan Kota - Senior Full-Stack AI Engineer specializing in Generative AI and FinTech in Minneapolis, MN

Senior Full-Stack AI Engineer specializing in Generative AI and FinTech

Minneapolis, MN6y exp
QuantLink AIUniversity of North Texas

Backend engineer who built and owned an AI-powered financial research product end-to-end, using a typed NestJS/GraphQL backend with LangGraph-style agent routing to produce sourced, structured financial analysis. Emphasizes finance-grade correctness (Zod validation, metric registries, unit/empty-result guardrails) while keeping latency low via batching, caching, and fast token streaming, and has led incremental migrations using strangler/feature-flag/shadow traffic patterns.

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Israel Sodano - Principal/Staff Software Engineer specializing in distributed systems and FinTech platforms in São Paulo, Brazil

Israel Sodano

Screened

Principal/Staff Software Engineer specializing in distributed systems and FinTech platforms

São Paulo, Brazil13y exp
Big MountainETEC Lauro Gomes

Brazil-based tech leader who helped build Bankly’s end-to-end Banking-as-a-Service platform—delivering a plug-and-play solution in 6 months and architecting for ~5k requests/second; Bankly later became the largest BaaS in Brazil. Also runs a closed, personal-capital private trading group focused on automating investment decisions with AI trading bots, but is currently prioritizing international career growth over entrepreneurship.

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Abhinav Garg - Senior Robotics Software Engineer specializing in ROS 2 autonomy and distributed systems in College Park, MD

Abhinav Garg

Screened

Senior Robotics Software Engineer specializing in ROS 2 autonomy and distributed systems

College Park, MD6y exp
Fulcrum TechnologiesUniversity of Maryland, College Park

Robotics Software Engineer with 2.5 years at the Army Research Lab building production tools and cloud infrastructure for large-scale ROS/Unity simulation on AWS. Created a Python GUI to streamline analysis of massive (100GB) ROS bag/MCAP datasets and has deep ROS2/Nav2 performance debugging experience (executor/QoS/TF tracing). Also built an in-house ROS perception pipeline for an assembly-line use case, reaching 92% accuracy.

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SF

Shawn Faber

Screened

Executive Engineering Leader specializing in enterprise SaaS, AI/ML, and cloud modernization

Charlotte, NC28y exp
Rhythm SystemsUniversity of Wisconsin–Stevens Point

Commercially minded candidate with exposure to private equity firms as sales targets and experience building partnerships around venture-backed company ecosystems. They appear more inclined to join an existing company than found one, bringing a metrics-driven, process-oriented approach and creative execution style with a strong focus on clear growth paths and capital stability.

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George Stathopoulos - Entry-level Software Engineer specializing in full-stack web development and applied systems work in New York City, NY

Entry-level Software Engineer specializing in full-stack web development and applied systems work

New York City, NY0y exp
CALEC HybridRensselaer Polytechnic Institute

Full-stack developer with hands-on experience building an end-to-end automated trading platform that combines web scraping, relational data storage, Flask/React architecture, and LLM-based decisioning via Google Vertex AI. Also brings production experience at CALEC, where they contributed frontend improvements including welcome-page redesigns, multilingual support, and accessibility-related fixes.

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Dishank Kailash Oza - Mid-level Software Engineer specializing in distributed systems and cloud infrastructure in Santa Clara, CA

Mid-level Software Engineer specializing in distributed systems and cloud infrastructure

Santa Clara, CA4y exp
Toir Inc.Santa Clara University

Engineer with a thoughtful, production-oriented approach to AI-assisted development, including multi-agent workflows for planning, coding, review, testing, and debugging. Stands out for treating AI systems like distributed pipelines with explicit interfaces, validation layers, and guardrails to improve reliability and reduce hallucinations.

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Rambabu Dhanavath - Mid-level Software Engineer specializing in backend and cloud-native microservices in United States

Mid-level Software Engineer specializing in backend and cloud-native microservices

United States5y exp
HumanaIndiana Tech

Backend/cloud engineer with 5 years of experience who has shipped a production internal ops LLM assistant end-to-end using Spring Boot microservices on AWS. Stands out for designing controlled, safety-first agent orchestration with deterministic tool access, Redis/DB-backed recoverable state, and strong observability/evaluation practices to improve reliability in production.

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Nidhip Patel - Mid-level Software Engineer specializing in AI/ML and full-stack systems in United States

Nidhip Patel

Screened

Mid-level Software Engineer specializing in AI/ML and full-stack systems

United States3y exp
UnumWebster University

Backend Java engineer with strong platform/DevOps experience: modernized an insurance claims legacy monolith into DDD-aligned microservices, deployed containerized services on Kubernetes with Jenkins CI/CD and static analysis gates, and implemented GitOps using ArgoCD. Also led major AWS migration planning with dependency mapping and network monitoring to uncover hidden dependencies, and built Kafka-based real-time event streaming with schema-registry-driven evolution.

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Ramya Sree Kanijam - Mid-level Software Engineer specializing in backend systems, cloud, and AI pipelines in Remote, USA

Mid-level Software Engineer specializing in backend systems, cloud, and AI pipelines

Remote, USA3y exp
NetomiTexas A&M University-Corpus Christi

Built and owned an end-to-end AI-driven content enrichment pipeline for a news workflow, using n8n, LLM agents, and external APIs to automate ingestion, deduplication, categorization, and approval routing. Stands out for production-minded AI systems work: they improved reliability with schema validation, retries, idempotency, and monitoring, while automating 90% of processing and cutting duplication errors by 95%+.

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Raj Kale - Junior Software Engineer specializing in full-stack systems and FinTech in Los Angeles, CA

Raj Kale

Screened

Junior Software Engineer specializing in full-stack systems and FinTech

Los Angeles, CA3y exp
University of Southern CaliforniaUSC

Full-stack engineer with experience building financial and hiring-product systems, spanning React/TypeScript dashboards, Flask/Kafka/Postgres backends, and multi-tenant configuration for 3,000+ clients. Stands out for combining deep technical debugging and performance work with product-minded UX improvements, including a 41% lift in resume matching accuracy and ~40% latency reduction through batching and query tuning.

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Dinesh Guguloth - Mid-level Software Engineer specializing in full-stack cloud-native and AI applications in New York, NY

Mid-level Software Engineer specializing in full-stack cloud-native and AI applications

New York, NY4y exp
AccentureCleveland State University

Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.

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PG

Senior Mobile Software Engineer specializing in secure React Native and Bitcoin wallets

Blacksburg, VA6y exp
Commonwealth Cyber InitiativeVirginia Tech

Built and evolved the backend-adjacent platform for a self-custody Bitcoin wallet used by 2000+ users, emphasizing security-first architecture that avoids custodial risk by keeping private key operations client-side. Demonstrates strong API reliability and security depth (FastAPI contract-first design, idempotency, state-machine modeling, JWT/device-aware auth) and has reduced production failures by hardening signing flows against poor connectivity.

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MR

Mid-Level Full-Stack Software Engineer specializing in cloud services and real-time systems

Remote, USA3y exp
GUNKUSTOMGeorge Washington University

Backend engineer who built and evolved a gun-parts price tracking platform focused on accurate historical pricing and fast graph-ready APIs. Experienced migrating an Express backend to NestJS incrementally with parallel routing, feature flags, and careful data integrity controls, and has a security-focused approach to API design (JWT/OAuth, RBAC, row-level access via scoped queries).

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SM

Senior Software Engineer specializing in AI/ML and cloud-native microservices

NYC Metropolitan Area7y exp
SYYMETouro University

Backend/platform engineer with production experience building a Python SDK over a microservices ecosystem, emphasizing reliability (JWT auth, retries/timeouts, custom exceptions) and integration testing. Has delivered AWS EKS microservices with Jenkins+Helm CI/CD, strong secrets/config separation using AWS Secrets Manager, and set up Datadog APM/deployment/change monitoring. Also modernized legacy VB applications to C#/.NET WPF via incremental migration with parity testing and stakeholder sign-off.

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GH

Girum Hagos

Screened

Senior Front-End Developer specializing in React/Angular and cloud-native healthcare apps

Toronto, ON6y exp
MediResourceUdacity

Senior/Lead Frontend/Full-Stack engineer in Toronto with proven experience shipping high-stakes, real-time and regulated products across healthcare, legal/compliance, and fintech. Built a real-time compliance dashboard that survived a 400% data spike and a no-code workflow builder supporting 500+ nodes, with strong emphasis on performance engineering, type-safe architecture, and automated quality/rollout practices.

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