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Vetted Data Preprocessing Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Lead Data Scientist specializing in Generative AI, LLM systems, and MLOps
Intern-level Software/ML Engineer specializing in AI, data science, and full-stack development
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps in Financial Services
Mid-level Full-Stack Developer specializing in FinTech and cloud microservices
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
Hari Kiran Reddy Rommala
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”
Shahmeel Naseem
Junior Robotics Research Assistant specializing in multi-robot autonomy and ROS2
“Graduate robotics researcher (Georgia Tech/Georgia Tech Research Institute) who helped modernize the Georgia Tech Robotarium by migrating its comms stack from MQTT to ROS2 across MATLAB/Python and updating embedded Teensy firmware for new sensors. Currently validating ToF distance sensors and integrating IMUs, with planned GTSAM factor-graph SLAM sensor fusion; also debugged and improved a decentralized coverage-control algorithm at swarm scale (1000–2000 agents) using computational geometry and literature-backed methods.”
“Built and deployed a live LLM-powered platform that takes a LinkedIn job URL + resume and generates job-specific resumes and personalized outreach at scale, with production-grade logging/monitoring/retries on Vercel + Railway. Experienced with agent orchestration (AWS Bedrock/Strands, LangGraph, CrewAI) and rigorous AI workflow testing, plus stakeholder-facing prototypes like data lineage/metadata and NL-to-SQL + dashboard generation.”
Hachem Hamadeh
Mid-level Applied AI Engineer specializing in ML systems, MLOps, and industrial analytics
“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”
Pratik Jaiswal
Mid-level AI/ML Engineer specializing in financial services ML and MLOps
“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”