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Vetted Software Development Engineers
Pre-screened and vetted.
Senior Perception & Sensor Fusion Engineer specializing in LiDAR/Radar for autonomous systems
Mid-level Software Development Engineer specializing in cloud-native microservices
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and cloud-native web apps
Mid-level Software Development Engineer specializing in cloud-native microservices and DevOps
Mid-Level Backend Software Engineer specializing in workflow automation and cloud microservices
Mid-level Backend/Cloud Software Engineer specializing in Java, AWS, and microservices
Mid-Level Full-Stack Software Engineer specializing in cloud, IoT, and automation
Mid-Level Software Engineer specializing in full-stack, cloud, and LLM systems
Mid-level Software Engineer specializing in distributed systems and cloud data pipelines
Senior Software Engineer specializing in cloud-native microservices and real-time data processing
Intern Full-Stack/Backend Software Engineer specializing in cloud-native systems and CI/CD
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and computer vision
Senior Software Development Engineer specializing in full-stack web, cloud, and MLOps
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
Shejal Shankar
Junior Software Engineer specializing in full-stack systems and LLM automation
“Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).”
Anjali Bhogi
Mid-Level Full-Stack Java Developer specializing in microservices, cloud, and AI integration
“Backend engineer working on high-volume insurance claims intake systems who shipped a production GenAI document-classification capability in Spring Boot microservices. Emphasizes reliability in LLM systems (strict schemas, confidence thresholds, monitoring, and manual-review fallbacks) and runs evaluation loops with labeled historical documents to drive prompt/validation improvements and reduce manual review.”
Akash Ramanathan
Junior Software Engineer specializing in cloud-native microservices and warehouse systems
“Backend engineer who built and launched a warehouse locations/inventory microservice for Walmart, supporting a new product rollout with on-call war-room ownership and now running across all US distribution centers. Emphasizes reliability and correctness (background syncs, 2PC concepts, alerting) plus design-first API development in Python/FastAPI with OAuth/JWT and RBAC, and has led staged legacy-to-microservice migrations with continuous data integrity verification.”
“Senior Unity UI/UX developer who led XR interaction design for a VR meetings/events platform (VRChat/Horizons-like), including a modular radial menu that served as the app’s primary control system. Also built a Pokemon Go-style Unity AR experience for a major shopping centre end-to-end, tackling real-world marker scanning challenges (lighting, reflections, installation) through iterative prototyping and testing.”
Abhishek Mathukiya
Mid-Level Software Engineer specializing in backend microservices and distributed systems
“Built and productionized an internal LLM-powered search tool that helps engineers find the right SolidWorks macros using plain-English queries, using OpenAI embeddings and ChromaDB with strong logging/fallback safeguards. Experienced in diagnosing RAG/agentic workflow issues in real time and in hands-on API support, including fixing customer macros after SolidWorks version updates and driving adoption through reusable solutions and best practices.”