Saikiran already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Typically responds within 24 hours
Recommended
Already have an account?
About
PhD-trained engineer with ~3.5 years of consulting experience building simulation/ML-driven manufacturing software. Deployed an ML surrogate model as a .NET C# DLL integrated with MES workflows, and resolved a critical pre-production latency issue by redesigning serialization/storage. Also built Python-based integrations across CAD/CAE tools and cloud material databases using an XML data model, with a strong interest in digital twins and real-to-sim/sim-to-real robotics workflows.
Hire with Reval
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Neural Networks and Deep Learning (DeepLearning.AI)Learn OpenUSD (NVIDIA)AI for Autonomous Vehicles & Robotics (University of Michigan)Google Cloud Professional Machine Learning Path Certification (Google) (On-going)
Publications
4 publications
Digital Twin frameworksReal-to-simulation (real-to-sim) data workflowsProduct lifecycle predictive assessmentSimulation-to-real gap reduction
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Jersey City, NJ6y exp
JPMorgan ChaseUniversity of Texas at Dallas
“Data engineer focused on large-scale ETL/ELT pipelines across cloud stacks (GCP and AWS), including Spark-based transformations and orchestration with Airflow. Has experience loading up to ~2TB per BigQuery target table and designing atomic loads to multiple downstream systems (Elasticsearch + Kafka), with Kubernetes deployment and Jenkins CI/CD.”
Senior Investment & Operations Professional specializing in family office and venture capital
Remote6y exp
The Kufel GroupUniversity of Michigan
“Chief of Staff at the Kufel Group with a strong operator + investment/portfolio orientation, leading OKR rollout, real-time portfolio reporting, and AI workflow adoption in parallel. Built AI-enabled executive productivity systems (meeting transcription/summaries, prep briefs, scheduling optimization) and measured impact via an Executive Effectiveness Dashboard, citing a 40% drop in urgent escalations and 13% portfolio performance improvement.”
Mid-level Full-Stack Engineer specializing in cloud microservices and NLP/LLM systems
Tempe, AZ4y exp
CitigroupArizona State University
“Full-stack engineer with 3+ years using Java/Spring Boot (Citi) and React, who built a production observability dashboard monitoring 53 microservices across 17 clusters with real-time health/latency tracing and significant performance improvements (cut load time from ~10s). Also designed a serverless AWS face-recognition system (Lambda/S3/SQS) built to handle burst traffic (~1000 concurrent requests), demonstrating strength in scalable, event-driven architectures.”