Vetted Agile Professionals

“SharePoint specialist with 10+ years delivering end-to-end business process solutions (forms, workflows, pages) and leading on-prem to SharePoint Online migrations. Has hands-on experience building SPFx React + TypeScript dashboards integrated with Nintex workflows, and has solved scale issues in large libraries (50k+ items) by redesigning permission architecture and archiving content. Also partners with product/design on Power BI dashboards, creating layered executive-to-operator UX with drill-through detail.”

Manaswini Gogineni

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp

“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”

“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”

“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”

Yanis Liaskos

Screened

Executive Technology Leader (CTO/CPO) specializing in AI, robotics, and warehouse automation

Atlanta, GA14y exp

“VP/CTO-level leader who builds globally distributed engineering organizations and operating systems (SAFe, governance, real-time metrics) to align product, engineering, and executives. Drove a security modernization initiative in a robotics context using Achilles and Polaris, remediating vulnerabilities and upgrading libraries to achieve a cyber certification that was ahead of industry norms.”

Rashi Agrawal

Screened

Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices

Novi, MI4y exp

“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”

“Entrepreneurial consultant who relocated to Boston to build a practice from scratch through intensive networking and pro-bono work, leading to being listed as a trusted provider in Leader Bank's CEO toolbox and generating qualified leads. Uses structured strategic frameworks (OODA, Porter's Five Forces, SWOT) to evaluate risk, resource lift, and enterprise/customer impact, with a strong ownership-and-accountability orientation.”

Nishitha Thummala

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable inference

San Francisco, CA6y exp

“Backend/retrieval-focused engineer with production experience at Perplexity building a large-scale real-time Q&A system using retrieval-augmented generation, emphasizing low-latency, high-quality answers through ranking, context optimization, and caching. Also has orchestration experience from both product-facing LLM pipelines and large-scale infrastructure workflows at Meta, and has partnered with non-technical stakeholders to align AI trade-offs with business goals.”

Kowshika M

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety

Santa Clara, CA5y exp

“AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.”

Mitul Sheth

Screened

Senior Engineering Manager specializing in cloud security and graph-based data platforms

Seattle, WA9y exp

“Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.”

Wendy Liu

Screened

Mid-level growth marketing manager specializing in digital strategy and analytics

New Haven, CT4y exp

“Early-career candidate with internship experience spanning podcast/community outreach and B2B SaaS outbound campaigns. They stand out for combining personalized research, webinar-led demand generation, and data-driven email optimization, citing results such as 60% open rates, roughly 100 booked consultations, and a 40% conversion lift from CTA changes.”

“Senior engineering leader at AWS currently managing two services in the MSK organization, including Replicator for disaster recovery/data distribution and Glue Schema Registry. He combines hands-on distributed systems depth with large-scale people leadership, having managed teams up to 32 engineers and coordinated platform onboarding work across roughly 340 AWS services. Earlier experience in payroll and compliance platforms adds strong enterprise domain breadth beyond cloud infrastructure.”