Vetted Requirements Gathering Professionals

“Operations-focused leader/consultant who has built corporate teams from scratch and redesigned customer success vs. implementation workflows for scalable new-client onboarding. Uses structured operational audits (tools, contracts, process mapping) to identify redundancies and automation opportunities, then drives adoption through team buy-in. Also mentors cross-functional leaders and has been retained for post-acquisition systems integration.”

“Healthcare-focused data engineer/ML practitioner with experience at Lightbeam Health Solutions and Humana building production entity-resolution and semantic similarity pipelines across EMR, lab, and claims data. Uses NLP/ML (spaCy, scikit-learn, BioBERT/LightGBM) plus Snowflake/Airflow and vector search (Pinecone) to improve linkage accuracy (reported 90%) and semantic match quality (reported +12–15%), while reducing manual cleanup by 40%+.”

“Software engineer with Citi Bank experience building real-time fraud validation/scoring for loan processing, spanning Spring Boot microservices and a FastAPI Python service secured with OAuth2/JWT. Delivered React/TypeScript operations dashboards and deployed containerized services via Docker/Kubernetes with Jenkins CI/CD, while also tuning databases (Oracle/Postgres) and handling high-volume latency/scaling issues using ELK, caching, and autoscaling on AWS.”

Sampada shelke

Screened

Mid-level Machine Learning Engineer specializing in NLP, LLMs, and applied research

La Jolla, CA3y exp

“New grad SDE (AI/ML) who built and deployed an LLM-based chatbot framework used across technology, military, and banking contexts, focusing on model selection tradeoffs (latency vs accuracy) through prototyping and benchmarking. Also built a multi-agent "eaterybot" using PyAutoGen/AutoGen with a manager agent orchestrating specialized agents, and emphasizes rigorous testing with adversarial/edge-case datasets and hallucination checks.”

Kristina Colclasure

Screened

Senior HR & Talent Acquisition Operations Leader specializing in global HRIS and analytics

Downers Grove, IL20y exp

“Talent Acquisition/Talent Operations leader who has managed multi-site teams (8–15) and rebuilt high-volume recruiting workflows end-to-end, combining process rigor (structured intake, SLAs, standardized interview kits) with deep ATS analytics. Hands-on with Lever and Workday Recruiting, and led a Workday + GoodTime implementation delivering major efficiency gains (40% scheduling improvement, 50% less manual coordination) alongside measurable hiring outcomes (33% faster time-to-fill, 42% increase in DEI hiring).”

John Patton

Screened

Executive Atlassian and Agile transformation leader specializing in AI-enabled enterprise collaboration

Aberdeen, NJ6y exp

“Product leader with hands-on experience modernizing enterprise internal tooling and shipping AI-enabled support workflows. At Peloton, they led the end-to-end migration of Jira, Confluence, and JSM from on-prem Data Center to cloud; at Atlas Vega, they implemented a RAG-based Slack/JSM support assistant with strong governance, data hygiene, and measurable support outcomes.”

Sanket Mungikar

Screened

Mid-level Software Engineer specializing in distributed backend and AI analytics platforms

California, USA4y exp

“Full-stack engineer at BigCommerce who combines customer-facing deployment ownership with hands-on AI/LLM systems work. Built and launched merchant analytics and predictive inventory workflows using React, TypeScript, FastAPI, Kafka, AWS, and RAG-style architectures, and has real production experience debugging non-deterministic AI issues caused by data pipeline freshness and event-ordering problems.”

“Built and owned Citigroup's ASTRA AI-powered test case generation platform end to end, from full-stack product experience to multi-agent LLM orchestration and RAG infrastructure. Drove test coverage from 40% to 95%, cut generation time from hours to minutes, and scaled the feature to 300+ daily users across 32 enterprise projects with sponsorship from Citi's CIO and Head of Engineering Excellence.”

“Product leader with experience at Gallagher Bassett building AI-assisted onboarding and engagement experiences. Stands out for a human-centered AI philosophy—using recommendations and personalization to reduce friction without replacing human judgment—and for delivering measurable impact, including roughly 30% gains in onboarding completion and lower support volume.”

“Backend engineer who designed and evolved an AWS-based event-processing system in Python/PostgreSQL, achieving a 60% p95 latency reduction while improving reliability during traffic spikes. Led a zero-downtime migration from a monolithic Django app to FastAPI microservices using feature flags, strong testing, and cross-team coordination, with production-grade observability (Prometheus/Grafana/CloudWatch) and security (JWT/OAuth2, RBAC, Postgres RLS).”

“Backend engineer with Citi Bank experience building and operating a Python/Flask Personal Finance Manager platform at 1M+ transactions/month. Strong in secure API design, database performance tuning (PostgreSQL/Azure SQL), and production reliability (92%+ test coverage, load testing, monitoring). Also integrated an NLP expense-tagging microservice with caching, background workers, autoscaling, and multi-tenant isolation via RLS and tenant-aware JWT.”

Saniya Shinde

Screened

Mid-level Data Scientist specializing in NLP, LLMs, and RAG systems

Washington, DC4y exp

“Built and deployed a production-style vision-language pipeline that generates structured medical reports from chest X-rays using BioViLT embeddings, an image-text alignment module, and BiGPT fine-tuned with LoRA, delivered via Streamlit and hosted on AWS EC2. Also collaborating experience presenting EDA findings, feature importance, and model performance to Ford managers while working with vehicle parts data at Bimcon.”

Shweta Gupta

Screened

Senior Backend Software Engineer specializing in Java microservices, Kafka, and AWS

Seattle, WA6y exp

“AI engineer who shipped a production chat assistant for a storage company by building the underlying RAG-style knowledge base (document ingestion, chunking/embeddings, FAISS vector store) and an admin update interface to keep content current. Also has full-stack delivery experience (Python REST APIs + React/TypeScript UI) and AWS operations using Terraform/Jenkins, including handling a real production performance incident by optimizing DB queries and adding auto-scaling.”

Krishnamraju Penumatsa

Screened

Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines

Fort Worth, TX6y exp

“Data engineer currently at American Airlines who built and owned end-to-end flight operations and booking data pipelines (batch + real-time) using Azure Data Factory, Kafka, Spark/Databricks, Synapse, and Snowflake—processing hundreds of GBs/day. Strong focus on reliability and data quality (idempotency, checkpointing, retries, validation/alerts) and delivered near-real-time analytics powering Power BI dashboards; previously helped stand up an early-stage data platform at Sysco on AWS (Glue/S3/Redshift) with Airflow and Jenkins CI/CD.”

“Analytics-focused candidate with experience owning end-to-end data projects across AI transcription, retail forecasting, and transportation revenue analytics. They combine strong SQL/Python pipeline skills with dashboarding and stakeholder alignment, citing measurable impact including 60% lower ETL latency, 18% better forecast accuracy, and 25% operational efficiency gains.”

“AI/LLM-focused builder with internship experience at Curated, where they owned a voice AI support deployment end-to-end and built a RAG-based internal knowledge assistant. They pair practical production instincts with measurable outcomes, including a 30% reduction in human-handled support tickets, a 20-point NPS improvement, and a 40% reduction in manual document search across five teams.”

“Frontend engineer with strong ownership in regulated healthcare/patient-facing products, including redesigning legal/privacy document workflows so non-engineering teams could safely publish updates without release cycles. Has also built frontend architecture from scratch, optimized large internal data-grid experiences, and recently worked in a forward deploy role directly with clients to shape product solutions.”

“Founder and Head of Product who built Cloud Institute around a contrarian AI-plus-human coaching thesis, launching adaptive learning, personalized pathing, and 24/7 expert support that drove 91% retention and $1.2M ARR in 18 months. Particularly compelling for mission-driven EdTech or human-centered AI roles: they combine hands-on product leadership, team building, and a clear philosophy that AI should deepen trust and learning rather than replace people.”

“Built an employee payroll and leave management system end to end at Northwest Missouri State University, owning stakeholder discovery, UI design, frontend implementation, backend APIs, and payroll business logic. Also has experience modernizing legacy transaction processing with an incremental migration approach from COBOL-based batch systems to Spring Boot services.”

“Healthcare product manager with deep experience building analytics workflows for hospitals, especially around 340B revenue opportunity analysis using EMR and claims data. They combine regulated-domain product delivery with hands-on AI prototyping, including a clinical assistant built with Python, Streamlit, OpenAI APIs, and FAISS, and have driven measurable workflow improvements such as a 40% reduction in turnaround time through data standardization and automation.”

Saikrishna Chandhrasekhar

Screened

Entry-Level Software Engineer specializing in systems, web development, and applied cryptography

College Station, TX

“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”

“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”

“Computer science capstone project: built a UE5 VR campus virtual-tour simulator using Blueprint scripting, including trigger-box interactions that display building/department info. Spent significant time in QA/playtesting to reduce motion sickness and improve UX, and handled a challenging asset pipeline by converting/optimizing high-detail AutoCAD/scan-derived building models via Blender—ultimately creating a custom plugin to help with conversion.”

Brett Futral

Screened

Senior Software Engineer specializing in healthcare enterprise platforms

Portland, OR20y exp

“Engineer with experience building foundational systems in healthcare and other production environments, including an early-stage Electronic Auths initiative inside Cambia where they helped define requirements and delivered the Intake API on time and under budget. Their background spans serverless Python on AWS, full-stack Drupal/PHP work for confidential genetic testing delivery, and Cassandra-backed API design for Choice Hotels.”