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Vetted API Integration Professionals
Pre-screened and vetted.
Avanishika Revelli
Junior Software Engineer specializing in backend, cloud, and robotics automation
“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”
Amr Elkordy
Mid-level Sales Engineer specializing in GNSS/RTK and technical pre-sales
“GEODNET engineer specializing in edge-to-cloud, real-time GNSS data pipelines at global scale (thousands of heterogeneous base stations). Built deterministic-latency ingestion with RTCM/MSM normalization, jitter buffering, and firmware-aware parsing, and shipped production hotfixes using canary rollouts and deep observability. Also delivers customer-specific GNSS/RTK outputs via tested Python tooling (CLI/API) and collaborates on-site with operators to resolve firmware and network-driven issues.”
kartik sharma
Mid-level Full Stack AI Engineer specializing in LLM and RAG systems
“Founding engineer and full-stack AI builder who single-handedly created Aura Groups Sweden's Trust and Growth platform across frontend, backend, ETL, and LLM services. Has hands-on experience shipping RAG-based products with OpenAI APIs and using them in real workflows, plus early-stage startup experience at nesoi.ai where they helped get an AI learning platform adopted by teams at Bain and Amazon.”
julian ospina
Mid-level Full-Stack Web Developer specializing in eCommerce
“Ecommerce-focused full-stack developer with broad agency and brand experience, spanning Shopify, WordPress, and BigCommerce. Most notably built a custom app to sync products and inventory across three regional storefronts with 5k+ products, significantly reducing manual duplicate work for store employees. Strong fit for roles involving custom commerce apps, B2B ecommerce workflows, integrations, and headless storefronts.”
Shuchi Shah
Senior Software Engineer specializing in Applied AI and FinTech
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Ned Ned Zaidi
Senior Full-Stack Engineer specializing in Python, Go, and cloud-native systems
“Full-stack/backend-leaning engineer with hands-on experience spanning Python, Go, React, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. They stand out for building real-time analytics and decisioning systems, plus a healthcare-focused B2B SaaS compliance/data integration platform that combined high-throughput event processing, dashboarding, and third-party integrations in a startup-style, high-ambiguity environment.”
Hannah Aron
Senior Full-Stack Engineer specializing in Python web and cloud applications
“Full-stack engineer with strong Python/React experience who has built systems from scratch, including a custom POS platform as the sole initial engineer. They also bring applied experience across IoT reward platforms, HR matching/search systems, and LLM-powered automation products, with a track record of improving reliability and speed through thoughtful architecture decisions.”
Luka Mgaloblishvili
Mid-level Software Engineer specializing in integrations and automation
“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”
Smit Panchal
Mid-level Full-Stack & XR Developer specializing in GenAI and immersive AR/VR systems
“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”
Sugathri Gotu
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Built and shipped a production LLM-powered incident response agent for a microservices platform, automating alert triage and safe remediation recommendations with strong guardrails (RAG grounding, structured JSON outputs, rule-based validation, and human-in-the-loop). Implemented state-machine orchestration (Redis/Kafka), comprehensive eval/monitoring, and an error categorization pipeline that cut hallucination errors ~40% and reduced MTTR ~30%.”
Harshit Sanas
Mid-level Frontend Engineer specializing in React and Next.js
“Frontend engineer with healthcare product experience who led end-to-end delivery of therapist-facing dashboards and clinical workflows in React + TypeScript, including real-time data and multi-role complexity. Emphasizes scalable feature-based architecture, strong domain typing (discriminated unions/domain layer), and performance techniques (scoped state, selector subscriptions, virtualization) alongside disciplined rollout practices (feature flags, QA, monitoring).”
Pallavi Deshmukh
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and Android media SDKs
“Backend/data engineer who built an end-to-end real-time stock analytics platform: ingesting multi-source market data via Kafka/APIs, transforming it into dashboard metrics (e.g., Bollinger Bands), and storing in BigQuery/MySQL. Strong DevOps/GitOps experience deploying Python/Node microservices on Kubernetes with Docker/Helm, CI/CD (GitHub Actions/Jenkins), and ArgoCD, plus hands-on troubleshooting and migration work.”
Ritika Sisodiya
Junior Data Scientist specializing in statistical modeling and machine learning
“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”
Akram Ali
Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering
“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”
Syed M Shah
Senior Business Development & Enterprise Sales Manager specializing in SaaS and digital transformation
“Enterprise SaaS seller with 9 years across cloud and cybersecurity, owning outbound motions from ABM account penetration to partner ecosystem outreach for Fortune 100 accounts and an eight-figure book. Reports 40+ enterprise closes, including a financial services expansion driving 45% YoY growth and $1.7M in multi-SaaS deals across North America and Europe, with a structured, insight-led multi-channel prospecting approach using tools like Outreach, ZoomInfo, Salesforce, and HubSpot.”
Michael Dominise
Senior Unity Developer specializing in game systems, AR, and Web3 integration
“Senior game developer with ~10+ years of experience who has authored a core Unity turn-based skill system (VFX, projectiles, status effects, async sequencing) and implemented Photon Fusion networking for an iOS simulation game with 6-player lobbies, dedicated servers, RPCs, and reliable data synchronization.”
Andrew Pittman
Principal XR Technical Architect specializing in Unity-based AR/VR simulation
“Lead XR Developer for Fortune 500 training simulators who owned the VR portion end-to-end in Unity/C#, including a patented VR display algorithm (VR NOW). Built a device-agnostic OpenXR architecture with headset-aware rendering fallback and integrated hardware like D-Box motion platforms; reports VR release drove higher sales and improved trainee engagement and performance.”
Sam Sharif
Senior AI Engineer specializing in machine learning, GenAI, and MLOps
“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”
Trace Hernandez
Mid-level Software Automation Engineer specializing in AI and healthcare IT
“Built production automation systems spanning Python integrations, analytics sync pipelines, and internal workflow apps. Notably automated an architectural site inspection process end-to-end with an app, database, and letter generation engine that reduced workload by 20%, and improved reliability of a Botpress/Supabase/Airtable cron integration by eliminating recurring rate-limit failures through batching.”
chaitra putumbaka
Junior Data Scientist and Software Engineer specializing in ML and cloud applications
“Backend engineer currently at Intuit Mailchimp working on transactional messaging infrastructure, with hands-on experience improving backlog-count latency through database redesign and sharding. Also has practical experience integrating Mailchimp capabilities into MCP-based AI workflows and previously worked on a financial-domain LLM chatbot using prompt design and RAG.”
Ali Arsalan
Senior Software Engineer specializing in frontend architecture and scalable e-commerce platforms
“Founding engineer at Salla who helped rebuild a monolithic Laravel merchant dashboard into a React/TypeScript Single-SPA microfrontend platform used by thousands of online stores. He combines hands-on frontend architecture, real-time operational dashboard design, and cross-team API/platform leadership, and says he built about 70% of the merchant-facing features in the system.”
sandeepreddy bimidi
Entry-level Full-Stack Software Engineer specializing in AI/ML and cloud systems
“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”
Vinay Chandra Vudharam
Mid-level AI Engineer specializing in GenAI, agentic workflows, and RAG systems
“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”
AYAZ MINAKHANOV
Senior SEO Manager specializing in Technical SEO and multi-market organic growth
“Growth/SEO operator with multi-market execution experience who builds scalable acquisition loops (landing page templates, internal linking, indexation fixes) and measures impact via clean attribution. Also an e-commerce side-project founder who led GTM from zero to consistent weekly revenue using GA4 funnel analytics, small-budget Meta/Google tests, retargeting, and SEO foundations; targeting $25k–$45k USD annually and open to scope-dependent arrangements.”