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Vetted LSTM Professionals
Pre-screened and vetted.
Feras Alsaiari
Senior Software Engineer specializing in AWS data platforms and event-driven systems
“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”
Matthew Frank
Senior Machine Learning Engineer specializing in computer vision and LLM-powered analytics
“Machine learning engineer and startup veteran building InfraSketch (infrasketch.net), a full-stack system-design/diagramming product where users describe systems in plain English and an LLM agent generates and iterates on infrastructure graphs and exports design docs. Owns the entire stack (React/TS + FastAPI/Node, DynamoDB/Postgres, AWS serverless) and focuses on LLM consistency, modular agent architecture, and production-style CI/CD and reliability patterns.”
Chaitanya Mahajan
Intern/Junior Software Engineer specializing in ML, networking telemetry, and full-stack web apps
“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”
Senior Python AI/ML Engineer specializing in MLOps, data engineering, and LLM applications
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
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level Software Engineer specializing in backend systems, distributed systems, and applied AI
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).”
Rushi Reddy Lambu
Mid-level AI/ML Engineer specializing in Generative AI and MLOps
“GenAI/LLM engineer and architect who built and deployed a production generative AI financial forecasting and scenario analysis platform at McKinsey, leveraging Claude (Anthropic), LangChain, Airflow, MLflow, and AWS SageMaker. Demonstrates strong LLMOps/MLOps rigor (monitoring, drift detection, automated retraining) and deep experience implementing global privacy controls (GDPR, differential privacy, audit trails) while partnering closely with finance executives and legal/IT stakeholders.”