Abstract artificial intelligence inference architecture
Node status: available for opportunitiesDelhi / India / 28.6139° N

AI & ML Engineer / Portfolio 2026

Priyanshu Kalondia

Engineering intelligent systems that learn, reason, and ship.

I build end-to-end AI, ML, and data analytics solutions — from intelligent models and agentic RAG systems to full-stack web apps that put them in users' hands. I turn raw data into production-ready systems: predictive models, real-time dashboards, automated pipelines, and generative AI tools shipped with Python, React, FastAPI, and cloud infrastructure.

View systems Résumé PDF
MACHINE LEARNINGGENERATIVE AIMLOPSAGENTIC SYSTEMSDATA ENGINEERINGEXPLAINABLE AIMACHINE LEARNINGGENERATIVE AIMLOPSAGENTIC SYSTEMSDATA ENGINEERINGEXPLAINABLE AI
[01] / Profile

Built for production

I don't just train models—I ship systems. My work sits between research and production: MLOps pipelines that heal themselves, agentic retrieval that reasons across sources, and real-time risk engines that explain every decision.

10+

BUILT SYSTEMS

04

CORE DOMAINS

08+

MODELS DEPLOYED

2027

B.TECH GRAD

Delhi, India

48

Tools, methods & technologies in active stack

Technical arsenal / full résumé index

Skills matrix

From model research and retrieval architecture to production APIs, observability, and deployment.

01
MODULE_01

Languages

  • Python
  • SQL
  • Java
  • C++
  • JavaScript
  • TypeScript
Capability set06 entries
02
MODULE_02

AI / ML

  • Scikit-learn
  • XGBoost
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Evaluation
  • Hyperparameter Tuning
  • SHAP
  • Explainable AI
Capability set09 entries
03
MODULE_03

Generative AI

  • LLMs
  • RAG
  • Agentic AI
  • Embeddings
  • Vector Search
  • BM25
  • Hybrid Retrieval
  • RRF
  • Reranking
  • Query Decomposition
  • Multi-Hop Retrieval
  • LLM Evaluation
Capability set12 entries
04
MODULE_04

MLOps

  • MLflow
  • Experiment Tracking
  • Model Registry
  • Model Monitoring
  • Data Drift Detection
  • PSI
  • KS Test
  • Automated Retraining
  • Champion-Challenger Evaluation
  • Model Rollback
Capability set10 entries
05
MODULE_05

Engineering

  • FastAPI
  • REST APIs
  • WebSockets
  • React
  • Tailwind CSS
  • SQLAlchemy
  • PostgreSQL
  • MySQL
  • Docker
  • Git
  • GitHub
Capability set11 entries
End of section [01] / Profile
Abstract data and AI visualization
[02] / Selected work

Deployed intelligence

SentinelML self-healing MLOps platform interface
PROJECT_01SYSTEM ACTIVE

SentinelML

Self-Healing MLOps Platform

An end-to-end ML lifecycle platform with experiment tracking, registry, deployment, PSI/KS drift detection, automated retraining, champion-challenger evaluation, rollback, and SHAP explainability.

Python / FastAPI / MLflow / XGBoost / React / PostgreSQL / Docker

Live systemSource code
Agentic RAG knowledge assistant interface
PROJECT_02SYSTEM ACTIVE

Production Agentic RAG

Knowledge Assistant

A grounded answer system using query decomposition, multi-hop retrieval, hybrid BM25/vector search, reciprocal rank fusion, reranking, citations, guardrails, and self-correction.

Python / FastAPI / LangGraph / RAG / BM25 / Vector Search / React

Live systemSource code
Sentry AI fraud detection and risk monitoring dashboard
PROJECT_03SYSTEM ACTIVE

Sentry

Fraud Detection & Risk Monitoring

A real-time fraud system combining supervised classification and anomaly detection with explainable risk scores, reason codes, alert triage, persistent transaction state, and live WebSocket updates.

Python / Scikit-learn / FastAPI / SQLAlchemy / React / WebSockets

Live systemSource code
End of section [02] / Selected work
Abstract machine learning pipeline visualization
[03] / Experience

The operating record

2026.06—07

V Devi Foundation

Data Analyst Intern

Built a centralized donor data system, automated CSV/Excel validation, and developed Power BI and Streamlit dashboards.

“Priyanshu was a standout intern — reliable, detail-oriented, and quick to turn raw data into actionable dashboards. His work on the donor system directly improved our reporting workflow.”

Shaurya Shandaliya

Project Mentor, V Devi Foundation

2026.01—03

Insanzia Labs

Lead & Co-Founder

Designed database schemas and frontend data flows, integrated REST APIs, and monitored product usage.

“Priyanshu is a great partner to work with. He brings strong ownership, clean engineering, and a product mindset that makes every collaboration smoother.”

Ankit Kumar Mishra

Founder, Insanzia Labs

EDU_01

B.Tech Information Technology

GGSIPU (USICT) / 2023—2027

Specialization in Artificial Intelligence and Machine Learning.

REC_01

Recognition

  • Top 20% nationwideTop 5,000 of 25,000 teams at BuildWithIndia–HackWithIndia.
  • GDG Solution ChallengeBuilt an AI solution aligned with UN Sustainable Development Goals.
End of section [03] / Experience
Abstract AI engineering visualization