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Vetted Random Forest Professionals
Pre-screened and vetted.
Pranay Kolipara
Mid-level Machine Learning Engineer specializing in Generative AI and real-time ML systems
“ML/GenAI engineer with hands-on experience shipping LLM-powered support systems at Uber, including real-time feedback analysis, ticket summarization, and retrieval-grounded knowledge systems. Stands out for combining fine-tuning, RAG, safety evaluation, and production optimization to drive measurable support outcomes like faster handling times, better resolution rates, and lower latency/cost.”
Mid-Level Software Engineer specializing in recommendation and ranking systems
Mid-level Data Analyst specializing in growth, product, and healthcare analytics
Mid-level QA Engineer and Full-Stack Developer specializing in Apple platforms and ML
Junior Python Developer & Data Analyst specializing in AML and financial data engineering
Senior Machine Learning Engineer specializing in MLOps and LLM/Agentic AI systems
Mid-level Solutions Engineer specializing in cloud data, AI, and healthcare analytics
Mid-level AI & Machine Learning Engineer specializing in computer vision and MLOps
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Data Science Manager specializing in machine learning and predictive analytics in financial services
Staff Machine Learning Engineer specializing in Generative AI, MLOps, and Computer Vision
Principal AI Platform Architect specializing in agentic AI and enterprise LLM infrastructure
Junior Software Engineer specializing in AI, distributed systems, and recommendation systems
Senior Software Engineer specializing in distributed systems and AI/ML platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-driven applications
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Senior Data Engineer specializing in cloud data platforms and big data pipelines
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).”
Yuqi Lei
Mid-level Software Engineer specializing in financial data platforms and quantitative research tooling
“Owned and built Bloomberg’s end-to-end bitemporal dividend & dividend-forecast data platform powering BQL for 400k+ terminal users. Architected real-time Kafka ingestion (5k–10k msgs/sec) across 100k+ tickers with strong correctness guarantees (PIT/bitemporal time-travel, immutable history to avoid look-ahead bias) and achieved sub-100ms p95 query latency through indexing and caching, deployed with Kubernetes + DLQ and robust monitoring.”