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Vetted LSTM Professionals
Pre-screened and vetted.
Junior Machine Learning Engineer specializing in NLP and computer vision
Senior Machine Learning Engineer specializing in MLOps and LLM/Agentic AI systems
Junior Robotics & AI/ML Engineer specializing in autonomous systems and computer vision
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level AI/ML Engineer specializing in LLMs, agentic systems, and MLOps
Mid-level Software Engineer specializing in cloud infrastructure automation and ML systems
Mid-level Machine Learning Engineer specializing in optimization, RL, and graph neural networks
Mid-level AI & Machine Learning Engineer specializing in computer vision and MLOps
Mid-level Machine Learning Engineer specializing in GenAI, LLM agents, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Mid-level Data Scientist specializing in GenAI, NLP, and agentic RAG systems
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Mid-level Software Engineer specializing in distributed systems and data platforms
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Sahithi S
Mid-level AI/ML Engineer specializing in NLP, MLOps, and Generative AI
“Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).”
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Shiv Harish Prabaharan
Mid-level Software Engineer specializing in systems, storage, and machine learning
“Robotics-focused engineer who built a non-holonomic self-driving car on Raspberry Pi 5 using ROS 2, implementing sensor fusion (robot_localization EKF), 2D SLAM (slam_toolbox), custom Hybrid A*/RRT* planners, and MPC trajectory tracking. Demonstrated strong real-time debugging and performance tuning (timestamp sync, CPU contention mitigation) and is extending the platform toward CV-based plant identification and autonomous plant watering.”