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Vetted Agentic AI Professionals
Pre-screened and vetted.
Director-level growth marketer specializing in AI-powered paid media and revenue operations
Mid-level GenAI/ML Engineer specializing in enterprise LLM and RAG systems
Principal Spatial Computing and AI Lead specializing in 3D, AR/VR, and real-time systems
Daniel Carlisle
Director-level AI Product Manager specializing in technical product systems
“Product builder with an operations leadership background who created PMTutorPlus, an AI-enabled project management education platform centered on guided learning rather than answer-giving automation. Stands out for thoughtful human-centered AI judgment, strong workflow/UX structuring for complex products, and a player-coach style that combines product strategy, systems thinking, and execution.”
Sawyer Sweet
Mid-Level Full-Stack Developer specializing in civic tech and data-driven web apps
“Built and owned an end-to-end Python/Postgres job-tracker backend that scrapes job postings (including LinkedIn) using Selenium-driven real-browser automation, with deduplication and data-quality filtering. Has practical experience migrating deployments from DigitalOcean to Vercel and emphasizes documentation, roadmapping, and testing as part of an iterative delivery cycle.”
Santhi Sampath Gamidi
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Ajith Kumar
Mid-level AI Data Engineer specializing in GenAI, RAG, and cloud data pipelines
“LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”
Radhika Mangroliya
Senior Data Scientist / AI Engineer specializing in LLMs, RAG, and production ML
“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”
Sriram Krishna
Mid-Level Software Engineer specializing in AI/ML and cloud-native platforms
“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”
“Forward Deployed Engineer at EasyBee AI who productionized a self-storage customer’s multi-agent LLM system end-to-end—rebuilding it with LangGraph/CrewAI, integrating with real property management + CRM systems via an MCP server, and adding observability/guardrails for reliable daily use. Experienced in live troubleshooting of agentic workflows, developer demos/workshops (including an open-source project, MerryQuery), and partnering with sales to close deals through customer-specific technical demos and fast integration feedback loops.”
Karthik Patralapati
Mid-level AI/ML Software Engineer specializing in GPU-optimized LLM inference and cloud microservices
“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”
Rethvick Sriram Yugendra Babu
Junior AI/ML Software Engineer specializing in Generative AI and scalable data pipelines
“Built and operated large-scale biodiversity/ecological research platforms, integrating 50+ heterogeneous global datasets into a unified BIEN 3 schema on PostgreSQL/PostGIS and improving data consistency by 35%. Strong production engineering background (Linux monitoring, CI/CD performance gates, Docker on AWS/Azure) plus applied AI work building a Python RAG system (0.90 precision) and halving latency with Elasticsearch.”
Shuchi Shah
Senior Software Engineer specializing in Applied AI and FinTech
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Nicholas Gallo
Senior Game Engineer specializing in Unity, Unreal, and multiplayer systems
“Unity/C# gameplay engineer with strong systems and optimization focus, including architecting a networked ability system that reduced networking load via lightweight ID-based replication. Also brings experience with AI-driven game tooling for Meta, custom internal tools, and mobile multiplayer performance tuning across graphics, networking, and input architecture.”
CharanKumar Pathakamuri
Entry-Level GenAI/LLM Engineer specializing in agentic systems and RAG
“LLM/AI agent engineer with consulting/contract experience (Kanhaiya Consulting LLC) who deployed a production AI agent to automate BIM list workflows end-to-end—from database understanding and data cleaning to automated visualizations/dashboards. Worked around restricted real-time data access by generating synthetic data and improving outputs via supervised fine-tuning, and uses AWS-based LLMOps observability (Opic/OPEC) plus hybrid retrieval (vector+BM25 with reranking) to optimize relevance, latency, and cost.”
Shreya Sivakumar
Mid-level Machine Learning & Generative AI Engineer specializing in AI agents and LLM workflows
“Customer-facing AppSec/solutions engineer with experience securing cloud-native AI/LLM deployments on Azure and Kubernetes. Led threat modeling and production hardening (Key Vault secrets migration, least-privilege IAM, rate limiting, structured logging/monitoring, LLM guardrails) and has supported retail search/catalog platforms using Elasticsearch, including performance triage and rollout playbooks that improved customer trust and enabled engagement expansion.”
Vikas Pandey
Mid-level Marketing Technologist specializing in B2B outbound and MarTech for SaaS/AdTech
“Enterprise CSM with BFSI experience who owned the Experian account end-to-end and drove major scale: increased email volume from 3M/month to 30M+/month and delivered a 94% uplift in credit report downloads using experimentation (send-time testing/A-B tests), AMP dynamic emails, and AI features. Also led a regional WhatsApp Business initiative by aggregating voice-of-customer across CSMs, influencing feature prioritization (e.g., carousel/emojis), and managing timelines to prevent churn.”
Kratin Bhardwaj
Senior Product Designer specializing in AI-native products and enterprise SaaS
“Product designer at FRCC with strong systems thinking and front-end fluency, leading end-to-end redesigns across content and AI workflow products. Notable for pairing measurable UX gains (54% to 91% task success, 12% subscription growth) with faster delivery, including compressing design-to-production from 8 weeks to 3 weeks and shipping an AI request-routing product live in 2.5 weeks.”
SIVA RAMAKRISHNA PALADI
Mid-level AI/Full-Stack Engineer specializing in agentic AI and RAG systems
“Solo builder who shipped two ambitious AI products from scratch: Zoly, a healthcare/pharmacy automation platform with voice agents, RAG, clinician dashboard, and patient app live in 4 months, and Breeth, a contextual memory system for AI agents deployed on AWS. Particularly compelling for teams needing a hands-on full-stack/AI engineer who can operate in ambiguity, design for safety and compliance, and turn complex agent workflows into production products.”
Ali Arsalan
Senior Software Engineer specializing in frontend architecture and scalable e-commerce platforms
“Founding engineer at Salla who helped rebuild a monolithic Laravel merchant dashboard into a React/TypeScript Single-SPA microfrontend platform used by thousands of online stores. He combines hands-on frontend architecture, real-time operational dashboard design, and cross-team API/platform leadership, and says he built about 70% of the merchant-facing features in the system.”