.png){kind=logo}
Vetted Customer Segmentation Professionals
Pre-screened and vetted.
Mid-level Product Marketing professional specializing in go-to-market strategy and growth
Mid-level AI/ML Engineer & Data Scientist specializing in NLP and production ML
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and LLMs
Mid-level Machine Learning Engineer specializing in production MLOps and healthcare analytics
Mid-level Data Analyst specializing in financial services and payments analytics
Mid-level marketing operations specialist specializing in growth and e-commerce optimization
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Staff GenAI Solutions Architect specializing in LLMs, RAG, and AI platforms
Mid-level Digital Marketing & CRM Specialist specializing in demand generation for B2B SaaS
Mid-level Data Scientist specializing in machine learning and analytics
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Senior Product Manager specializing in B2B SaaS platforms and AI/ML features
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Samuel Lee
Executive Sales Leader specializing in Enterprise SaaS GTM and global revenue growth
“Revenue/sales operations and GTM builder for early-stage startups who designs repeatable sales processes (CRM pipeline stages, MEDDPICC, Challenger Sales) and operating cadences (OKRs) to improve conversion and forecasting. Also mentors product/technical founders—e.g., through the Canadian Technology Accelerator—helping a fintech founder establish segmentation, metrics, and an outbound motion that produced early recurring revenue and investor readiness.”
Atharva Joshi
Mid-level GenAI Engineer specializing in RAG systems and AI agents
“LLM/agentic systems builder who has deployed production solutions for a resource management firm, using an MCP-driven architecture with Neo4j + Elasticsearch and a ChatGPT frontend to generate candidate/company “SmartPacks” and answer entity Q&A. Also built a LangGraph/LangSmith-orchestrated multi-agent workflow that automates data-infra change requests end-to-end (impact analysis, SQL + tests, and PR creation), and delivered a ~60% latency reduction through TTL-based context caching while improving accuracy via a business data dictionary.”
Director-level Enterprise Customer Success leader specializing in Healthcare SaaS
Hemanth Katikala Muniraj
Intern Robotics Software Engineer specializing in ROS2 autonomy and LiDAR localization
“Robotics software engineer focused on production-grade autonomous mobile robot (AMR) navigation in warehouse-style environments, with deep hands-on ROS2/ROS Noetic experience across SLAM, AMCL/NDT LiDAR localization, and Nav2 integration. Strong in real-time debugging and performance tuning using rosbag-driven regression workflows, plus containerized deployment (Docker/Compose) and distributed robot/edge-device communication via MQTT/REST.”
Pallavi Yellisetty
Mid-level AI/ML Engineer specializing in predictive modeling, NLP, and recommender systems
“AI/ML manager who has deployed production NLP in healthcare—mining unstructured clinical notes and combining them with structured patient data to predict readmissions, with strong emphasis on data alignment and terminology normalization. Also experienced operationalizing ML with Airflow/MLflow and AWS Step Functions/SageMaker, plus stakeholder-facing Power BI dashboards (e.g., marketing customer segmentation).”
Anandita Maurya
Mid-level Marketing Analytics & Growth Specialist in performance marketing
“Paid media specialist with nonprofit/fundraising experience at Keelworks Foundation, running high-spend acquisition across Google, Meta, and LinkedIn (and familiar with TikTok). Uses CRM-driven funnel segmentation and disciplined A/B testing across ads, landing pages, and email flows; has recovered stalled performance and delivered ~10% donation growth while tracking deep donor-quality KPIs (lead-to-donor, retention, avg gift).”
Trinath Manikanta Batta
Junior AI/ML Engineer specializing in healthcare and financial risk modeling
“Built and productionized a clinical NLP + patient risk stratification platform at Dermanture, combining Spark/PySpark pipelines with BERT/BioBERT for entity extraction and text classification and downstream risk models in TensorFlow/scikit-learn. Experienced running regulated, auditable ML workflows with Airflow and AWS SageMaker, emphasizing data validation (Great Expectations), drift monitoring, and explainability (SHAP) to drive clinician trust and adoption.”