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Vetted LLM Fine-Tuning Professionals
Pre-screened and vetted.
Sathwik Varikoti
Mid-level AI/ML Engineer specializing in Generative AI and Conversational AI
“GenAI Engineer at Infosys who built and deployed a production multi-agent RAG system for a top-tier bank, scaling to ~50,000 queries/day with 99.9% uptime. Drove measurable gains (45% accuracy improvement, 30% API cost reduction) through open-source LLM fine-tuning, Pinecone indexing/retrieval optimization, and AWS-based MLOps/monitoring, and has experience enabling adoption via developer workshops and customer-facing collaboration.”
Mihir Trivedi
Junior Machine Learning & Quant Research Engineer specializing in low-latency data and trading systems
“Applied ML to physical EV fleet systems at ST Labs, building a real-time CNN-LSTM fault prediction pipeline from streaming vehicle telemetry and addressing live data alignment issues via resampling/interpolation and buffered inference. Also developed a V2G/G2V energy transfer algorithm to automate charging/discharging for profit optimization, and made high-impact low-latency pipeline decisions at Astera Holdings using profiling, replay testing, and live A/B validation.”
Ramtin Khorrami
Principal Software Engineer specializing in AI/ML and cloud-native backend systems
“McKinsey data/ML practitioner who led production deployment of an entity resolution + semantic search platform for unstructured finance and healthcare data, integrating with legacy systems under HIPAA constraints. Deep hands-on stack across transformers (spaCy/HF BERT), embeddings + FAISS, and production MLOps/workflow tooling (Airflow, Docker, CI/CD, Prometheus/Grafana), with reported gains of +30% decision speed and +25% search relevance.”
Pavan Kumar Malasani
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
“GenAI/ML engineer in Citigroup’s finance environment who has deployed production RAG systems for investment banking under strict privacy and model-risk constraints. Built an internal-VPC Llama2 + Pinecone + LangChain solution with NER redaction and citation-based verification to prevent hallucinations, delivering major time savings, and also partnered with global finance executives to ship an AI early-warning indicator for treasury/liquidity risk.”
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI
Senior Data Scientist specializing in GenAI, fraud/credit risk, and cloud MLOps
Mid-level AI/ML Engineer specializing in fraud detection, risk modeling, and real-time ML systems
Junior Full-Stack & Mobile Developer specializing in data-driven product development
Junior Robotics & Computer Vision Researcher specializing in perception and reinforcement learning
Mid-Level Software Engineer specializing in systems and backend development
Mid-level Full-Stack Engineer specializing in cloud-native microservices and AI products
Staff Full-Stack Software Engineer specializing in cloud-native SaaS and AI platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Mid-level AI/ML Engineer specializing in GenAI, LLM fine-tuning, and RAG systems
Senior Data Scientist / AI & ML Engineer specializing in agentic AI and generative AI
Intern AI Engineer specializing in LLMs, RAG, and applied machine learning
Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms
Mid-level Data Scientist specializing in MLOps, NLP, and Generative AI
Mid-level Software Engineer & Project Coordinator specializing in ML, MLOps, and cloud data platforms
Mid-level AI/ML Engineer specializing in MLOps, real-time data platforms, and generative AI
Staff AI/MLOps Engineer specializing in cloud-native LLM and document intelligence platforms