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Vetted Algorithms Professionals
Pre-screened and vetted.
Kusumita Dasgupta
Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products
“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”
Mid-level Gameplay/AI Engineer specializing in Unity, XR, and narrative NPC systems
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Staff Software Engineer specializing in FinTech platforms and distributed systems
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Michael Kaufman
Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms
“iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.”
Intern Machine Learning Engineer specializing in AI security and anomaly detection
Intern Software Engineer specializing in data science and network visualization
Junior Back-End Software Engineer specializing in Go/C++ and large-scale messaging systems
Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Mid-level Software Engineer specializing in backend systems and AR/VR sensor calibration
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Senior Software Engineer specializing in data lineage and cloud data platforms
Senior Backend Software Engineer specializing in AWS serverless and data pipelines
Junior Robotics Test Engineer specializing in ROS2 autonomous mobile manipulation
Rakshak Shah
Intern Software Engineer specializing in cloud, AI, and systems programming
“AWS intern who significantly evolved a Drift Audit Service backend (Control Tower/EventBridge context) to make drift findings more explainable and reduce false positives by adding a verification step in Lambda before event ingestion. Demonstrates strong API design fundamentals in Python/FastAPI (contracts, idempotency, security controls) and careful rollout practices (feature flags, canaries, phased deployments).”
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
Mid-Level Software Engineer specializing in Android and experimentation
Mid-level AI Engineer specializing in LLM applications and personalization
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services