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Vetted Business Intelligence Professionals
Pre-screened and vetted.
Mid-level Data Scientist / AI/ML Engineer specializing in MLOps, geospatial analytics, and GenAI
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Entry Visual Designer specializing in branding, marketing, and digital media
Mid-Level Full-Stack/Product Engineer specializing in B2B SaaS and AI search
Executive business operations leader specializing in RevOps and GTM optimization
Entry-Level Software Engineer specializing in full-stack, data engineering, and AI systems
Staff/Tech Lead Full-Stack & Cloud Engineer specializing in scalable web platforms
Mid-level Software Engineer specializing in FinTech and AI-powered systems
Mid-level Content Marketing Specialist specializing in B2B SaaS and growth marketing
Junior Software Engineer specializing in cloud-native backend and LLM applications
Mid-level Data Analyst specializing in BI and healthcare insurance analytics
Mid-level Data Analyst specializing in business intelligence and customer analytics
Mid-level Data Analyst specializing in business intelligence and marketing operations
Director-level soccer coach and scout specializing in player development and talent identification
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Vishesh Patel
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”
Yeruva Bala Shreya Reddy
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
Harikrishna Kadari
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Prasanth Kumar Korada
Mid-level QA Automation Engineer specializing in Playwright and cross-browser E2E testing
“QA automation engineer with strong end-to-end ownership of UI automation for financial transaction workflows, using Selenium/Playwright/Cypress and CI/CD gating. Improved suite robustness via UI-API validations, negative testing, and flake reduction (intercepts + data-testid), catching critical backend calculation issues before production and cutting regression runtime by 40%.”
HarshelSrivatsava Srivatsava
Intern Full-Stack Engineer specializing in AI-powered SaaS products
“Solo builder of OGym, shipping production AI features for gyms that turn member behavior/health data (workouts, attendance, nutrition, payments, device metrics) into prioritized, actionable owner and member insights. Designed and implemented FastAPI backends, PostgreSQL-based RAG workflows, guardrails (RBAC/validation/rate limiting), and real-user evaluation loops, with a strong focus on latency/cost optimization and reliable data pipelines.”