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Vetted PyTorch Professionals
Pre-screened and vetted.
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”
Sanghavi Yelmelwar
Mid-level Software Engineer specializing in FinTech and Healthcare systems
“Data engineer who has owned end-to-end production pipelines ingesting ~500GB/day from APIs/databases/Kafka into an S3 data lake (Glue/Spark) with Airflow-orchestrated Great Expectations quality gates. Built resilient external data collection systems with idempotent jobs, exponential-backoff retries, raw data capture, and backfills; also shipped Snowflake-backed APIs with caching, versioned endpoints, and backward-compatible data contracts. Led an early-stage Azure data platform build with phased delivery and GitHub Actions CI/CD, resolving schema-mismatch incidents quickly without downstream corruption.”
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Junior Full-Stack Software Developer specializing in cloud APIs and data platforms
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Senior Data Scientist specializing in GenAI, LLM systems, and production ML
Intern Software Engineer specializing in full-stack and distributed systems
Intern-level Software Engineer specializing in backend systems and applied AI
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native AI microservices
Mid-level Software & Robotics Engineer specializing in autonomous navigation and perception
Junior AI/ML Engineer specializing in LLMs, RAG, and multimodal agents
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
Intern Robotics & Reinforcement Learning Engineer specializing in ROS2 manipulation and SLAM
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-level Backend/Platform Engineer specializing in distributed systems and data platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native web platforms
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Junior ML Engineer specializing in GenAI agents, RAG, and computer vision
Mid-level AI/Software Engineer specializing in LLM agents and RAG systems
Mid-level GenAI & Analytics Engineer specializing in LLM and cloud cost/finance analytics