Vetted Power BI Professionals

“Analytics candidate with hands-on experience improving enterprise reporting and operational decision-making at Reliance and Wendy’s. They combine SQL optimization, Python automation, sentiment analysis, and dashboarding to deliver measurable impact, including cutting report runtimes from 3 minutes to 1 minute, improving model accuracy from 70% to 80%, and reducing supplier past dues by 30%.”

Hari Billa

Screened

Mid-level Data Scientist specializing in machine learning, NLP, and healthcare AI

USA3y exp

“Senior data scientist with hands-on ownership of production ML and GenAI systems across enterprise churn, clinical Q&A, and real-time fraud detection. Stands out for combining strong MLOps discipline with measurable business impact, including $2M+ retained revenue, 10K TPS low-latency fraud infrastructure, and a clinician-reviewed RAG system that improved retrieval accuracy by ~38%.”

Ruturaj Dixit

Screened

Junior Data Scientist specializing in AI/ML and product analytics

New York, NY2y exp

“Applied ML/data scientist who has owned backend-heavy AI systems end-to-end, including a market-signal platform on FastAPI/AWS and rapid MVP delivery in medical computer vision. Particularly interesting for teams needing someone who can combine model development, backend APIs, production debugging, and pragmatic low-latency architecture decisions.”

“Product leader focused on transforming legacy white-label personal cloud platforms into AI-native consumer experiences at global telecom scale. They led the launch of ML-powered features across brands like AT&T, Verizon, and SoftBank, drove ~25% MAU growth, and paired strong UX judgment with deep technical fluency in AI infrastructure, rollout governance, and cost optimization.”

“CRM/lifecycle marketer with 8+ years of experience focused on email, push, and automation in Salesforce Marketing Cloud. Currently owns all email communications for a North America division and has built scalable re-engagement programs in live event ticketing, while serving as a key cross-functional connector across creative, analytics, mobile, and MarTech teams.”

“Hands-on AI/LLM practitioner who built a RAG-based customer support chatbot and tackled production issues like data chunking complexity and response-time lag. Uses techniques such as overlapping chunks, semantic search, context engineering, and query routing, and has experience presenting technical demos/workshops to developer audiences.”

“Creator-led growth and digital marketing professional with experience as a media team lead and agency-side marketer (Furst spark), sourcing and negotiating creator partnerships for events, fintech apps, and lifestyle subscription launches. Runs data-driven, cross-platform campaigns (Instagram, TikTok, YouTube Shorts, Twitter/X) with trackable links and rapid optimization; reports doubling engagement rate in a fintech acquisition experiment and driving repeat creator collaborations.”

“GenAI/LLM engineer who built and deployed a production RAG system for enterprise document search and decision support, cutting manual lookup time by 40%+. Experienced with LangChain/LangGraph agent orchestration plus Airflow/Prefect for ingestion and incremental reindexing, with a strong focus on reliability (testing, observability) and stakeholder-driven metrics.”

“Built and owned UPS tracking/reporting and operations workflow dashboards, delivering customer-facing APIs and real-time React/TypeScript UIs backed by .NET Core. Experienced in high-volume microservices using IBM MQ/Azure Service Bus with strong reliability patterns (idempotency, retries, DLQ) and Azure-based observability, plus performance tuning across frontend and SQL-backed services.”

“Backend/platform engineer who built real-time connected-vehicle telemetry analytics at Subaru, spanning Kafka streaming, Python/FastAPI ETL, and low-latency WebSocket delivery (minutes to <2s). Strong Kubernetes + GitOps practitioner across AWS EKS and Azure AKS (Helm, ArgoCD, Jenkins/GitLab) and has led major on-prem-to-cloud migrations for financial microservices using Terraform and AWS DMS with measurable cost and reliability gains.”

“Built and deployed a production AI “term explainer” agent that adapts explanations to beginner/intermediate/expert users by combining multi-step LLM reasoning with grounded Wikipedia retrieval. Owns end-to-end agent orchestration (smolagents/Python), reliability patterns (fallback across LLM providers, retries, guardrails), and observability/metrics-driven evaluation; also partnered with a non-technical researcher to deliver a plain-language research assistant agent.”

“LLM/MLOps engineer who has shipped a production RAG-based technical documentation assistant (FastAPI) cutting manual review by 45%, with deep hands-on retrieval optimization in Pinecone/LangChain (HNSW, hybrid + multi-query search, caching). Also brings healthcare domain experience—building Airflow-orchestrated EHR pipelines and delivering FDA-auditability-friendly predictive maintenance solutions using SHAP/LIME explainability surfaced in Power BI.”

“Backend/data engineer who builds Python (FastAPI) data-processing API services for internal analytics/reporting, emphasizing modular architecture, async performance tuning, and reliability patterns (health checks, retries, observability). Also migrated legacy on-prem ETL pipelines to Azure using ADF/Data Lake/Functions and implemented a near-real-time ingestion flow with Event Hubs plus watermarking to handle late events and deduplication.”

“AI Engineer Co-Op at Northeastern University who built a production Patient Persona Chat Bot to help nursing students practice clinical interactions, fine-tuning Llama 3 and integrating a LangChain + Pinecone RAG pipeline deployed on Amazon Bedrock. Emphasizes clinical accuracy and reliability with guardrails, retrieval filtering, and continuous evaluation, and also brings strong data engineering/orchestration experience (Airflow, EMR/PySpark, ADF, dbt, Databricks, Snowflake).”

“LLM/GenAI engineer who built a production AI-powered credit risk policy summarization and compliance alerting platform at HCL Tech, focused on factual accuracy and auditability for a financial client. Implemented a multi-retriever LangChain RAG architecture with citations-only prompting, fallback agents, and human-in-the-loop legal review—cutting manual review time by 35% and scaling to 12 teams.”

“AI/NLP-focused practitioner who built a zero-/few-shot LLM event extraction system on the long-tail Maven dataset, combining prompt-structured outputs with LoRA/QLoRA fine-tuning and rigorous F1 evaluation. Also implemented entity resolution/data cleaning pipelines and embedding-based semantic search using Sentence-BERT + FAISS, and has healthcare experience delivering a multilingual speech/translation mobile prototype using HIPAA-compliant Azure Cognitive Services.”

“LLM engineer who built a production-style educational questionnaire generation system (MCQs/fill-in-the-blanks/short answers) using Hugging Face models (BERT/T5) and implemented grounding, decoding tuning, and post-generation validation to control hallucinations and quality. Also developed a "tech care" assistant chatbot with a custom Python orchestration/router layer (intent classification, context management, multi-step flows) and a structured testing/evaluation approach including expert review and automated checks.”

“Production infrastructure engineer from Textron Systems who owned IBM Power/AIX 7.2 environments supporting manufacturing-critical automated RF test workloads. Deep hands-on experience with VIOS/HMC, DLPAR performance issues, SAN/vFC failures and failover recovery, plus modern DevOps practices (Azure DevOps CI/CD, Key Vault) and Terraform-based AWS infrastructure with remote state/locking and drift controls.”

“Cybersecurity leader with 13 years in IT/cyber and 8 years in management, currently managing ~200 people while innovating explainable AI (XAI) for military/high-stakes decision-making. Experienced with large budgets, resource allocation, and investor engagement, and is motivated to build a proactive, future-focused cyber company centered on Zero Trust and human-overseen XAI.”

“Former Cloud Engineer at Indivior (laid off in January) now focused on entrepreneurship; owns multiple businesses including a SaaS product with iOS and Android apps (strive.gifts). Has not raised funding yet and is considering raising working capital to hire full-time backend and UX/UI developers.”

“Built and launched “Language AI,” a Next.js/TypeScript app that clones a user’s voice (via ElevenLabs) to deliver language lessons in their own voice, using Supabase for auth/Postgres/storage and hosting backend on Render. Post-launch, identified ElevenLabs voice-clone limits after initial users and reworked the pipeline to store audio assets and delete clones to support more concurrent users; also added Google auth to improve adoption. Previously worked in a high-growth startup environment (Study Park) taking concepts from ideation to production.”

Aditya Rajendra

Screened

Mid-level Product & Program Associate specializing in sourcing, pricing, and analytics

Orange, CA3y exp

“Sourcing professional who led Home Depot WPC flooring launches and custom direct-ship container projects, combining landed-cost/tariff modeling with hands-on supplier onboarding and third-party testing coordination. Known for data-driven negotiations (e.g., securing a 30-point margin and winning price concessions that drove repeat 20-container orders) and for streamlining cross-functional onboarding via Jira to cut cycle time by 25%.”

Chandana Arikacherla Nagendran

Screened

Mid-level Full-Stack Developer specializing in Java, Spring Boot, and Angular

Columbus, Ohio4y exp

“Full-stack engineer who modernized mission-critical legacy COBOL/AS400 systems into a Java + Angular/TypeScript web application, owning backend APIs, UI, database performance tuning, and JWT security end-to-end. Built and transitioned an internal docketing/hearing scheduling system with complex business rules, emphasizing smooth adoption, performance, and quality through phased agile delivery.”

Mohith Venkata

Screened

Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows

Tukwila, WA4y exp

“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”