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Vetted Data Preprocessing Professionals
Pre-screened and vetted.
Intern-level Business Analytics professional specializing in data science and BI
Mid-level AI/ML Engineer specializing in LLM automation and data ingestion systems
Software Engineer specializing in cloud-native backend systems and AI/ML
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Junior Full-Stack Developer specializing in FinTech and backend APIs
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”
Divya Patel
Mid-Level Software Engineer specializing in .NET and CMS platforms
“Built and owned end-to-end systems for the Department of Water Resources and NAHC, including a debt infrastructure management system and a TypeScript/React + .NET 6 CMS. Strong in shipping quickly with quality (CI/CD, automated testing), optimizing SQL Server performance for large datasets, and implementing microservices-style async processing with reliability patterns (retries/idempotency/monitoring). Also delivered widely adopted internal workflow automation and reporting using Power Automate and Power BI.”
KARISHMA PAPPU
Junior AI/ML Engineer specializing in machine learning and data pipelines
“Built and productionized an LLM-based system that summarizes large volumes of unstructured content (customer feedback/internal docs) to reduce manual analysis and surface decision-ready insights. Brings strong reliability practices—prompt/schema constraints, validation checks, orchestration with Airflow/Databricks, and rigorous component + end-to-end testing—plus experience partnering closely with business stakeholders to drive adoption.”
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”
Sadir Ahmed Zidan
Junior AI/ML Engineer specializing in LLMs, RAG, and computer vision
“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”