Top Skills
US Patent Holder
Holder of 1 U.S. Patent for contextual intent classification.
Published Research
Author of 2 peer-reviewed publications on deep learning and model explainability.
Agentic AI
Specializes in building autonomous, human-aligned AI and architecting agentic workflows.
Bio
I am a Machine Learning Engineer with over 5 years of experience specializing in Agentic AI, Generative AI, and Responsible AI systems. I focus on building autonomous, human-aligned AI that bridges the gap between complex reasoning and real-world utility, particularly within the healthcare and enterprise sectors.
Currently, at ScriptChain Health, I architect agentic workflows using LangGraph and NVIDIA NeMo Guardrails to deliver personalized, clinically-aligned health recommendations. My work involves orchestrating complex LLM patterns, integrating Neo4j knowledge graphs, and ensuring high-stakes data integrity within HIPAA-compliant environments.
Key Highlights:
Innovation & Research: Holder of 1 U.S. Patent for contextual intent classification and author of 2 peer-reviewed publications on deep learning and model explainability.
Enterprise Impact: Previously at Genpact, I led AI initiatives that reduced manual review efforts by 70% and achieved 90% accuracy in production-grade CV and NLP models.
Technical Foundation: M.S. in Computer Science from The George Washington University (GPA 3.84). Deeply proficient in PyTorch, LangGraph, FastAPI, and AWS/GCP cloud architectures.
I am passionate about the "Reasoning" layer of AI, creating systems that don't just predict text but navigate complex tasks autonomously, ethically, and securely.
Elevator Pitch
Zyncora is a multi-agent AI hiring platform that helps companies find verified talent faster. We just launched a few weeks ago and already have 114+ followers, 40 active users, including 19 organic users, and 8 people on the waitlist. We start with an AI copilot that helps job seekers tailor resumes and cover letters, then expand into a verified proof-of-work marketplace where recruiters can screen candidates through AI interviews and real work tests instead of manually reviewing resumes. The $50k will help us improve infrastructure, scale onboarding, and accelerate the verified talent marketplace.
Industry
Technology
Website
Team Size
Just Me/Co-Founders
Company Stage
Growth
Funding Stage
Pre-Seed
Funding Raised
None/Bootstrapped
Annual Revenue
$0 to $100k
| Skill | Strength | Explanation |
|---|---|---|
| US Patent Holder | 100 | Holder of 1 U.S. Patent for contextual intent classification. |
| Published Research | 100 | Author of 2 peer-reviewed publications on deep learning and model explainability. |
| Agentic AI | 95 | Specializes in building autonomous, human-aligned AI and architecting agentic workflows. |
| AI Impact | 95 | Reduced manual review efforts by 70% and achieved 90% accuracy in production-grade CV and NLP models. |
| Technology | 90 | Founder of Zyncora, a technology company, and experienced in various tech roles. |
| Responsible AI | 90 | Focuses on building ethical and secure AI systems, ensuring HIPAA compliance and data integrity. |
| PyTorch | 90 | Deeply proficient in PyTorch, a foundational technical skill. |
| Machine Learning Engineering | 90 | Over 5 years of experience specializing in Agentic AI, Generative AI, and Responsible AI systems, building autonomous, human-aligned AI. |
| Retrieval Augmented Generation (RAG) | 90 | Identified as a RAG specialist in their short bio. |
| Healthcare | 85 | Specializes in applying AI within the healthcare sector, delivering clinically-aligned health recommendations. |
| Production-grade AI Models | 85 | Experience in building production-grade Computer Vision and NLP models with high accuracy. |
| Generative AI | 85 | Specialized experience in Generative AI systems. |
| Entrepreneurship | 85 | Solo founder of Zyncora, an AI hiring platform. |
| AI Strategy | 85 | Architects autonomous, human-aligned AI systems and leads AI initiatives, demonstrating strategic thinking. |
| Large Language Models (LLMs) Orchestration | 85 | Involves orchestrating complex LLM patterns to deliver clinically-aligned health recommendations. |
| Natural Language Processing (NLP) | 85 | Developed and led initiatives for production-grade NLP models, achieving 90% accuracy. |
| Computer Science | 85 | Holds an M.S. in Computer Science from The George Washington University with a GPA of 3.84. |
| Deep Learning | 85 | Authored peer-reviewed publications on deep learning and model explainability. |
| HIPAA Compliance | 85 | Works within HIPAA-compliant environments, ensuring regulatory adherence for health data. |
| Enterprise | 85 | Focuses on bridging AI reasoning with real-world utility within the enterprise sector. |
| Computer Vision (CV) | 80 | Developed and led initiatives for production-grade CV models, achieving 90% accuracy. |
| LangGraph | 80 | Utilizes LangGraph for architecting agentic workflows at ScriptChain Health. |
| HR Technology | 80 | Founder of Zyncora, a multi-agent AI hiring platform focused on talent acquisition. |
| Leadership | 80 | Led AI initiatives at Genpact, demonstrating ability to guide technical projects. |
| Data Integrity | 80 | Ensures high-stakes data integrity within HIPAA-compliant environments. |
| AWS Cloud Architectures | 80 | Proficient in AWS cloud architectures, contributing to robust AI system deployments. |
| Project Management | 80 | Orchestrates complex workflows and leads AI initiatives, indicating strong project oversight. |
| GCP Cloud Architectures | 75 | Proficient in GCP cloud architectures, contributing to robust AI system deployments. |
| FastAPI | 75 | Proficient in FastAPI, indicating experience in building APIs. |
| NVIDIA NeMo Guardrails | 75 | Employs NVIDIA NeMo Guardrails to deliver personalized, clinically-aligned health recommendations. |
| Model Explainability | 75 | Authored peer-reviewed publications on model explainability. |
| Knowledge Graphs | 75 | Experience in integrating and utilizing knowledge graphs, specifically Neo4j. |
| Neo4j | 70 | Integrates Neo4j knowledge graphs as part of complex AI system architecture. |
Title
Patent Holder
Position Description
Contributed to innovation by securing a U.S. Patent in the area of contextual intent classification.
Accomplishment Notes
Awarded 1 U.S. Patent for contextual intent classification.
Title
Founder
Position Description
Developing a multi-agent AI hiring platform designed to connect companies with verified talent faster through AI copilots for job seekers, AI interviews, and real work tests.
Accomplishment Notes
Launched the AI hiring platform, attracting over 114 followers, 40 active users (including 19 organic users), and 8 waitlist sign-ups; bootstrapped the company.
Title
M.S. in Computer Science
Position Description
Completed a Master of Science program in Computer Science, building a deep technical foundation in the field.
Accomplishment Notes
Awarded a Master of Science degree in Computer Science with a GPA of 3.84.
Title
AI Lead
Position Description
Led AI initiatives focused on developing and deploying production-grade Computer Vision (CV) and Natural Language Processing (NLP) models.
Accomplishment Notes
Reduced manual review efforts by 70% and achieved 90% accuracy in production-grade CV and NLP models.
Title
Machine Learning Engineer
Position Description
Architecting agentic workflows using LangGraph and NVIDIA NeMo Guardrails to deliver personalized, clinically-aligned health recommendations, involving orchestration of complex LLM patterns and integration of Neo4j knowledge graphs.
Accomplishment Notes
Architected sophisticated AI systems to provide personalized and clinically-aligned health recommendations while ensuring high-stakes data integrity in HIPAA-compliant environments.
Title
Author
Position Description
Conducted and published research in academic journals.
Accomplishment Notes
Authored 2 peer-reviewed publications focusing on deep learning and model explainability.