Applied AI & GenAI
Structured generation, retrieval, agent orchestration, and model evaluation.
LLMs & agentsRAG / pgvectorMCPPyTorch
APPLIED AI × FORWARD DEPLOYED ENGINEERING
AI systems.
Human impact.
I’m Parth. I build AI systems and bring them into the workflows people depend on.
From a conversation in a clinic to a decision in a boardroom—connecting models, data, and the people on the other side.
HealthcareEnterprise intelligenceAgent systems
SYSTEM / EXPLORERInteractive architecture
04
Extract, structure, and check the output through separate processing stages.
Evidence → reasoning → reviewClick a node to inspect
Scroll to exploreENGINEERING THE DISTANCE BETWEEN DEMO AND DEPLOYMENT
8+
Nephrology practices
Direct engineering delivery
50+
Connected business tools
Enterprise platform context
2
Merged contributions to Ray
Distributed AI infrastructure
01 SELECTED WORK
Built close to the problem.
Production systems, customer delivery, and independent experiments. Open a project to explore the decisions behind it.
5 projects
02 INSIDE THE SYSTEMS
Less black box. More understanding.
Explore the reasoning behind the work through small, interactive examples.
ILLUSTRATIVE DEMO
CONSULTATION EXCERPT
- The patient reports taking the current medication as prescribed.
- No swelling is reported today.
- We discussed repeating labs. The specific tests and timing were not stated.
Synthetic example. No patient data.
01 / EXTRACTClinical workflow
Start with the source.
Keep what the transcript supports. Leave unspecified details unresolved.
Fact extraction
Missing-detail detection
03 THE ENGINEERING TOOLKIT
From model behavior to production behavior.
Forward deployed engineering
Customer discovery, workflow design, implementation, and the next conversation after launch.
RequirementsEHR integrationsDemos & feedbackTenant configuration
Data & production systems
The infrastructure and data quality that make AI dependable in everyday use.
Python / GoSQL & ETLAWS / KubernetesQueues & observability
04 EXPERIENCE
A through line:
useful AI.
Across healthcare, enterprise analytics, and education, my work connects engineering depth with product and customer context.
Full resumeSenior AI Software Developer
Nephrolytics AI
Clinical AI, structured documentation, EHR integrations, and direct engineering delivery for 8+ nephrology practices.
Senior AI & Data Engineer
SQOR.ai
AI insights across 50+ integrated business tools, multi-agent workflows, and executive and investor reporting.
AI Engineer / AI Product Manager
Radical AI
An educational AI assistant for students exploring AI, GenAI, LLMs, and machine learning. Progressed from engineering to product responsibilities.
05 RESEARCH & OPEN SOURCE
Curiosity, with a commit history.
Learning through experiments, publishing the work, and contributing to the tools other engineers rely on.
PUBLISHED PAPER / 2021
GAN-based image cartoonization
Exploring surface, structure, and texture representations for transforming real images into a cartoon-style format.
Read the paperPublication title
“CONVERSATION OF REAL IMAGES INTO CARTOONIZE IMAGE FORMAT USING GENERATIVE ADVERSARIAL NETWORK” — title as printed.
ACADEMIC RESEARCH PROJECT
System Identification with Neural ODEs
Comparing neural ODEs and liquid time-constant networks on three-body dynamics, with attention to performance and computational trade-offs.
Explore the report06 FIELD NOTES
Thinking beyond the prompt.
Writing about the systems, trade-offs, and practical work behind applied AI.
01
Agents & infrastructure
MCP in the Enterprise
The protocol, the trust boundary, and the engineering that still belongs to you.
Aug 2026Read on Medium
02System design
Architecting a Real-Time Multi-Tenant AI Analytics Engine
A technical exploration of the architecture behind an enterprise AI analytics platform.
Feb 2026Read on Medium
03Shipping AI
From Prototype to Production
What changes when an AI system moves beyond the notebook and into daily use.
Jan 2026Read on Medium
07 THE PERSON BEHIND THE WORK
A journey made possible by someone else’s belief.
Before the models, the degrees, and the deployments, there was my mother.
A single parent and a fashion designer running her own boutique, she worked to give me an education—from English-medium school and IIT entrance coaching to my master’s at Boston University.
Her support made this journey possible. My interest in AI began with hands-on learning at PICT, grew through research and teaching at BU, and continues in the systems I build with customers today.
Boston UniversityMaster’s in Artificial IntelligenceTeaching assistant · BA810
Pune Institute of Computer TechnologyB.E. Computer Engineering · 2018–2022AI/ML honors · Years 3 & 4
PLACES THAT SHAPED ME
Where it began
Aurangabad
My mother raised me as a single parent after my father passed away. A fashion designer with her own boutique, she often worked more than eighteen hours a day to support my education.
08 OUT IN THE COMMUNITY
Stay curious. Show up.
APR28–302026
ATTENDEE · SAN FRANCISCO
Stripe Sessions
At Moscone West, exploring the intersection of AI and business infrastructure—including Sam Altman’s conversation with Patrick Collison.
Explore the conversationMAR112026
ATTENDEE · NEW YORK
MCPconference
A day at Loft39 focused on the Model Context Protocol, agent frameworks, enterprise integrations, and production infrastructure.
Explore the conferenceLET’S BUILD SOMETHING USEFUL
A real problem?
That’s where I start.
For applied AI, forward deployed engineering,
or a thoughtful conversation about what comes next.