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Vetted Regression Analysis Professionals
Pre-screened and vetted.
Nischit Patel
Mid-level Software Development Engineer specializing in Python, APIs, and AWS
“Backend engineer with experience modernizing legacy systems and building modular Python/Flask services, including a REST-to-GraphQL migration for an e-commerce platform that improved API response time by 45%. Strong in performance and scalability work across PostgreSQL/SQLAlchemy (indexing, JSONB, N+1 fixes, connection pooling) and high-throughput systems (Celery + Redis), plus integrating ML microservices with TorchServe, Kafka streaming, feature stores, and Prometheus/Grafana monitoring.”
Kalash Desai
Intern Data Scientist specializing in analytics, BI, and machine learning
“Marketing and product-focused analytics candidate with hands-on experience turning messy large-scale data from Hadoop/HDFS, Azure Data Lake, and transaction systems into validated reporting tables. They combine SQL and Python automation with strong metric design, cohort/retention analysis, and stakeholder-friendly dashboards, including a reported 30% query performance improvement and weekly reporting automation.”
Vamshikrishna Chitturi
Mid-level AI Engineer specializing in Generative AI, LLM fine-tuning, and RAG systems
“Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.”
Sanviti Shetty
Mid-level Product Analyst specializing in data-driven onboarding and user experience
“Analytics-focused candidate from SWAP PM with hands-on experience turning messy onboarding and user behavior data into reliable funnel and retention reporting using SQL and Python. They owned an end-to-end onboarding improvement project, aligned stakeholders on metric definitions, and helped drive changes that reduced onboarding time by about 45%.”
Sam Nick
Senior AI/ML Engineer specializing in Generative AI, LLMs, and NLP
“ML/AI engineer with hands-on experience building healthcare and fraud-detection systems from experimentation through deployment, monitoring, and retraining. Stands out for combining real-time IoT pipelines, cloud-native MLOps, and GenAI/RAG in regulated healthcare settings, with reported impact including reduced emergency response times and a 25% reduction in manual diagnosis time.”
Junior Software Engineer specializing in distributed systems and low-latency backends
Mid-level Machine Learning Engineer specializing in cloud ML pipelines and MLOps
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Junior Brand Manager specializing in CPG marketing analytics and retail growth
Mid-Level Software Developer specializing in Java, cloud, and full-stack web development
Senior Machine Learning Engineer specializing in computer vision, NLP, and LLM applications
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Developer specializing in MLOps and healthcare predictive modeling
Mid-level Supply Chain Analyst specializing in forecasting, ETL, and BI dashboards
Senior AI & Machine Learning Engineer specializing in Computer Vision, LLMs, and RAG
Entry-level AI/ML Engineer specializing in LLMs, multimodal AI, and applied research
Mid-level Data Scientist / AI-ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Junior Data Science student specializing in machine learning and predictive modeling
Junior Data Analyst specializing in analytics, ETL, and machine learning