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Vetted Data Visualization Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Junior Cloud & Full-Stack Engineer specializing in AWS and Kubernetes automation
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Data Engineer specializing in ML, LLM pipelines, and analytics platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Finance transformation leader specializing in FP&A, analytics, and shared services
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Mid-level Strategy & Transformation Manager specializing in corporate strategy and financial services
Intern Business Analyst specializing in product analytics and business intelligence
Staff Software Engineer specializing in FinTech eCommerce platforms
Senior Creative Technologist specializing in XR, interactive installations, and real-time graphics
Intern AI Software Engineer specializing in LLM inference optimization and model compression
Mid-Level Frontend Software Engineer specializing in React and React Native
Junior UX/UI Engineer specializing in mobile prototyping and agentic commerce
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“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).”
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Rathin Shah
Senior Robotics Systems Engineer specializing in autonomous mobility and optimal control
“Robotics technical lead who architected and built a high-speed autonomous lunar rover mobility software system for GPS-denied environments, integrating MPC/LQR control, trajectory optimization, state and slip estimation, terrain-aware planning, and perception. Has deployed Deep RL policies trained in NVIDIA Isaac Sim onto real rover hardware via a ROS2 inference-node interface, with strong focus on real-time performance profiling, sim-to-real, and safety/HIL testing.”
Jianing Gu
Junior Digital Marketing Specialist specializing in social media growth and performance marketing
“Growth-creative marketer with hands-on paid social and short-form video experience across restaurant and beauty (Tom Ford Beauty). Runs structured creative experiments (Meta A/B ad sets, Meta Pixel conversion tracking) and adapts strategy to platform behaviors (TikTok comments vs IG sharing). Has led creators/editors and drove a reported 100% ROAS lift on a Valentine’s Day TikTok ads iteration.”