Asirwad Sali
Agentic AI Developer
Specialized Agentic AI Developer with expertise in building intelligent, autonomous systems using LangChain, LangGraph, and enterprise AI frameworks. Passionate about creating secure, scalable agentic solutions that transform healthcare and enterprise workflows.
About Me
I'm a dedicated Agentic AI Developer with specialized expertise in building intelligent, autonomous systems that leverage multiple AI agents to solve complex business problems. Currently working at UST Global in the US Healthcare sector, I design and implement enterprise-grade agentic AI systems using cutting-edge frameworks like LangChain, LangGraph.
My core competencies lie in developing multi-agent orchestration systems, secure PHI tokenization workflows, and robust backend architectures using Spring Boot microservices. I've successfully architected clinical assistant platforms that automate intake processes, ambient scribing, and structured SOAP note generation, while ensuring HIPAA compliance and data security.
With a strong foundation in both traditional software engineering and emerging AI technologies, I bridge the gap between theoretical AI research and practical enterprise applications. My work focuses on creating reliable, scalable agentic systems that can reason, plan, and execute complex workflows with minimal human intervention. I'm particularly passionate about applying agentic AI to transform healthcare delivery and improve patient outcomes.
Education
Bachelor of Technology in Computer Science and Engineering
Class 12 - Computer Science
Experience
A timeline of professional growth and technical achievements
Agentic AI Developer
Specializing in developing enterprise-grade Agentic AI systems for US healthcare workflows using cutting-edge frameworks like LangChain, LangGraph and AWS Bedrock, Strands Agents.
Key Achievements
- Developing enterprise-grade Agentic AI systems for US healthcare workflows using LangChain, LangGrap and AWS Strands with focus on HIPAA, PHI tokenization, audit trails and traceability
- Designed and implemented multi-agent systems (scribe, intake, reasoning, validation) enabling tool-use planning, stepwise decomposition and workflow orchestration for clinical tasks
- Built RAG pipelines and retrieval systems using vector embeddings, chunking, and BM25/OpenSearch fallbacks for accurate clinical summarization, medication and entity extraction
- Engineered secure PHI tokenization and redaction flows with HashiCorp Vault Transit Engine + Spring Boot microservices integrated into orchestration layers to ensure data minimization and auditability
- Integrated LLMs with safety and grounding layers (Bedrock, LLaMA, Claude, Gemini) with prompt/version control, hallucination mitigations, JSON output schemas and downstream validation
- Developed LLMOps and reliability tooling: prompt versioning, prompt/eval pipelines (RAGAS-style), observability, telemetry, retry supervisors, and rate-limiting for production stability
- Improved backend throughput and scalability: moved tokenization and async processing to cross-account AWS Lambda and managed async queues, improving end-to-end throughput by ~3x
- Practiced enterprise engineering: CI/CD (GitHub Actions), containerization (Docker), infra-as-code patterns, sprint-based delivery, code reviews, and post-mortems
Technologies Used
Selected Projects
Innovative solutions spanning GenAI, healthcare technology, and deep learning
MedScribeAI – GenAI Clinical Assistant Platform
An innovative multi-agent, HIPAA-compliant clinical assistant platform that leverages ambient conversation scribing to revolutionize healthcare documentation.
Key Highlights
- Spearheaded the architecture and full-stack development of a multi-agent, HIPAA-compliant clinical assistant with ambient conversation scribing capabilities using Next.js, GenKit, Spring Boot, Firebase, and LLaMA 4.0
- Engineered a secure PHI tokenization system using HashiCorp Vault Transit Engine with SpringBoot REST microservices, ensuring zero-trust data storage and compliance
- Implemented Google GenKit agents featuring contextual chat interfaces, automated patient intake processes, and EHR-ready clinical documentation pipelines
- Developed a comprehensive API layer with advanced redaction capabilities to ensure patient privacy, auditability, and GenAI safety in healthcare workflows
- Successfully delivered a production-ready demonstration to stakeholders through full-stack deployment, earning recognition as a finalist among 70+ competing teams
Technologies
ProactivePulseAI – Agentic AI for MSPs
An agentic platform that correlates helpdesk ticket trends with infrastructure metrics to surface root-cause hypotheses, actionable remediation steps and prioritized alerts.
Key Highlights
- Contributed to key multi-agent modules: ingestion, anomaly detection, ticket analysis, correlation engine, insight generator and notification pipelines
- Implemented production patterns: DynamoDB with GSIs for low-latency queries, AWS OpenSearch for full-text and fuzzy search
- Built APIs using FastAPI and dashboards using NextJS for paginated insights, on-demand multi-agent runs and historical investigations
- Emphasized observability and audit trails throughout the platform architecture
Technologies
Qualen – AI-Powered Test Case Generation for Healthcare QA
An LLM-first QA copilot that converts requirements into positive/negative/boundary test suites with end-to-end traceability.
Key Highlights
- Delivered HIPAA-conscious compliance features: exportable evidence, explainable test mapping, status badges and an always-on traceability matrix to support audits and regulatory reviews
- Built LLM-driven workflows using Google Gemini for test generation, conversational QA copilot UX, and ALM integrations (Jira / Azure DevOps / Polarion)
- Implemented scalable analytics and storage with BigQuery for traceability insights, serverless generation pipelines (Cloud Run / Vercel)
- Enabled event-driven sync to ALM systems for continuous integration
Technologies
Privacy-Safe Agentic Clinical Triage Assistant (LCAC Framework)
An agentic clinical triage assistant implementing the Least-Context Access Control (LCAC) framework for cognitive zero-trust in clinical AI.
Key Highlights
- Contributed to implementation of the Least-Context Access Control (LCAC) framework for cognitive zero-trust in clinical AI
- Focused on privacy-safe agentic workflows that minimize data exposure while maintaining clinical utility
- Implemented secure context management for multi-agent clinical decision support systems
- Ensured compliance with healthcare data protection regulations
Technologies
InvisiCipher++ – GAN-based Steganography Suite
An advanced steganography system that combines cutting-edge generative adversarial networks for ultra-realistic image synthesis and secure data embedding.
Key Highlights
- Architected a novel hybrid image processing pipeline integrating StackGAN and ESRGAN architectures for generating ultra-realistic cover images
- Engineered a sophisticated CNN-based encoder/decoder system (STEGOCNN) that achieved 92% PSNR and reduced steganographic embedding error by 50%
- Implemented advanced algorithmic optimizations including bit-plane slicing and adaptive quantization techniques, reducing model training time by 30%
- Developed a comprehensive full-stack desktop application using PyQT5 and created an interactive web-based demonstration using Streamlit for stakeholder presentations
Technologies
Skills & Recognition
Technical expertise and professional achievements
Technical Expertise
Programming Languages
Frameworks & Libraries
Cloud & DevOps
Databases & Storage
AI & Methodologies
Computer Science Fundamentals
Areas of Interest
Project Management
Soft Skills
Certifications
Certified Full Stack Java Developer
Comprehensive certification covering Data Structures & Algorithms, Advanced Spring Boot, REST APIs, Microservices Architecture, Hibernate, and Frontend Integration. Demonstrates proficiency in building scalable, enterprise-grade applications.
Problem Solving Using Computational Thinking
Applied Computational Thinking concepts to real-world problems with systematic and algorithmic approaches. Enhanced analytical and structured problem-solving abilities.
Achievements
Recognition for innovation and technical excellence
Runner-Up – UST Agentic AI Hackathon
Secured 2nd Place
Project: MedScribeAI – GenAI Clinical Assistant Platform
Led the development of a groundbreaking multi-agent, HIPAA-compliant clinical assistant platform that leveraged ambient conversation scribing to revolutionize healthcare documentation.
Key Highlights
Technologies
Selected – ProactivePulseAI (Agentic AI for MSPs)
Round 1 Selection
Project: ProactivePulseAI – Agentic AI for MSPs
Contributed to ProactivePulseAI: an agentic platform that correlates helpdesk ticket trends with infrastructure metrics to surface root-cause hypotheses, actionable remediation steps and prioritized alerts.
Key Highlights
Technologies
B.Tech Major Project Team Lead
Academic Excellence
Project: InvisiCipher++ – GAN-based Steganography Suite
Spearheaded a team to develop an innovative steganography system combining cutting-edge generative adversarial networks for ultra-realistic image synthesis and secure data embedding.
Key Highlights
Technologies
Get In Touch
Ready to collaborate? Let's create something amazing together
Let's Connect
I'm always open to discussing new opportunities, innovative projects, or just having a conversation about technology and development.