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Vetted Visual Studio Code Professionals

Pre-screened and vetted.

LT

Senior QA Engineer specializing in AAA game quality engineering and Unreal Engine validation

Durham, NC10y exp
GitHubCedarville University
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SS

Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines

San Francisco, CA6y exp
StripeUniversity of Memphis
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VR

Intern Software Engineer specializing in Generative AI and RAG systems

3y exp
MicrosoftUniversity of Massachusetts Amherst
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HR

Senior Data Analytics & Applied ML Engineer specializing in LLMs, RAG, and MLOps

India6y exp
AmazonSan José State University
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LK

Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI

San Francisco, CA6y exp
StripeUniversity of Texas at Dallas
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KS

Senior Software Engineer specializing in AWS-native backends and AI/ML

Denver, CO11y exp
WestLinkRice University
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LG

Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation

San Jose, CA6y exp
MicrosoftSaint Louis University
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SB

Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms

Dallas, TX6y exp
Liberty MutualSaint Peter's University
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SM

Senior Front-End Engineer specializing in React and marketing automation

Remote, Americas11y exp
ShopifyYork University
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SS

Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms

Seattle, WA3y exp
AmazonUniversity of Central Florida
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KH

Kanishka Harwani

Screened ReferencesModerate rec.

Intern Robotics & Embedded Systems Engineer specializing in ROS2 autonomous mobile robots

New York, NY1y exp
New York UniversityNYU

Recent graduate with a prototyping/hardware engineering background who is building a ROS2-dependent swarm robotics system for transporting non-standard cargo using 3+ robots. Has hands-on experience integrating multiple sensor modalities (LiDAR, IMU, GPS, radar) and developing custom teleoperation ROS nodes, currently tackling networking/communication challenges in multi-robot coordination.

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PD

Pavan Devulapalle

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development

Seattle, WA3y exp
AmazonUniversity of Texas at Dallas

Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).

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PC

Prateek C

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS

San Francisco, CA6y exp
ShopifyClemson University

Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.

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SG

Sarthak Gupta

Screened

Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems

New York, NY4y exp
New York UniversityNYU

Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).

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SS

Shubham Singh

Screened

Mid-level Software Engineer specializing in LLM systems and intelligent search

CO, USA6y exp
PalantirSan José State University

Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.

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CM

Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps

Louisville, CO1y exp
CableLabsUniversity of Colorado Boulder

Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.

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SL

Junior Full-Stack Developer specializing in cloud-native microservices

Remote, USA3y exp
SpotifyIllinois Institute of Technology
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DG

Intern/Junior Software Engineer specializing in backend systems and applied AI

New York City, NY1y exp
Gen DigitalStony Brook University
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SS

Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms

CA, USA6y exp
StripeCampbellsville University
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WH

Mid-level ML Research Scientist specializing in computer vision and materials modeling

Baltimore, MD6y exp
Johns Hopkins UniversityVirginia Tech
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VV

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices

CA, USA4y exp
StripeUniversity of North America
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SG

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

USA – Remote4y exp
NetflixAuburn University at Montgomery
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