✦ AI/ML Engineer · New Jersey, USA

ThirupathiKadari

I build |

I design and ship production-ready AI systems — from RAG pipelines and LLM agents to computer vision models — with full MLOps ownership from experimentation to deployment.

Generative AI RAG Systems Computer Vision MLOps LLM Agents ACM Published
Open to Work
Thirupathi Kadari
4.0GPA · MS AI
5+Publications
6+Years Experience
Scroll

Who I Am

Building intelligent systems that solve real-world problems at scale.

I'm Thirupathi Kadari — an AI/ML Engineer with 6+ years of experience building end-to-end AI solutions. From RAG pipelines and LLM-powered agents to scalable computer vision systems, I turn data into impactful production systems.

Currently at Sync AI, New York as an AI/ML Engineer. Previously at ZS Analytics and Spring ML, I've owned full MLOps pipelines on GCP, Azure, and AWS.

  • ACM-published researcher in AI-based food detection & computer vision
  • MS in Artificial Intelligence — Yeshiva University, GPA 4.0
  • Production experience: RAG, LangChain, LangGraph, GPT-4, Azure ML, Kubernetes
  • Open to AI Engineer · ML Engineer · Generative AI · Data Scientist roles
Start a Conversation →

Quick Info

LocationNew Jersey, USA
Emailtkadari.ai@gmail.com
DegreeMS · Artificial Intelligence
StatusOpen to Work ✓
PublishedACM + ResearchGate
6+Years in AI/ML
5Publications
4.0GPA
10+Projects Shipped

Technical Stack

Languages
PythonSQLRCypher
Generative AI
LangChainLangGraphGPT-4RAGAgentic AIPrompt Eng.BERTTransformers
ML Frameworks
PyTorchTensorFlowScikit-learnKerasJAXLoRAOptuna
Computer Vision
YOLOOpenCVObject DetectionSegmentationGANsCNNsResNet
MLOps & Cloud
GCP · Vertex AIAWSAzure MLMLflowDockerKubernetesCI/CD
Data & Databases
PostgreSQLFAISSChromaDBNeo4jPower BITableauPandas

Publications & Research

ACM Published · ICVGIP 2024

NutriDetect — Food Detection & Nutrition Analysis

Deep learning system for real-time food detection with nutritional insight generation using YOLO and computer vision. Published in ACM International Conference on Computer Vision & Image Processing.

YOLOComputer VisionDeep LearningNutrition AI
Read Paper →
ResearchGate

Face Landmarks Prediction — Comparative Analysis

Comparative study of deep learning architectures for accurate facial landmark detection and performance benchmarking across multiple model families.

Computer VisionDeep LearningFacial Recognition
Read Paper →
ResearchGate

Cow Teat-End Condition Classification using CNN

CNN-based classification model in PyTorch for dairy cattle health monitoring through automated teat-end condition analysis.

CNNPyTorchVeterinary AI
Read Paper →
ResearchGate

Image Segmentation of Lungs Dataset in PyTorch

Deep learning segmentation techniques for lung dataset analysis, improving medical image understanding with semantic segmentation models.

SegmentationMedical ImagingPyTorch
Read Paper →
ResearchGate

Object Detection for Cow Stall Number using ResNet152

ResNet152-based object detection for smart dairy farm environments — automated stall number identification for livestock management systems.

Object DetectionResNet152PyTorch
Read Paper →

View all publications on ResearchGate

View All →

Featured Projects

📊 Exploratory Data Analysis

Data cleaning, visualization & insights with Python, Pandas, Matplotlib.

PandasEDA
View →

📈 Lead Scoring Model

Predictive ML model to identify high-quality leads using logistic regression.

ClassificationML
View →

🎬 IMDB SQL Analysis

Deep movie dataset analysis using MySQL to extract business insights.

SQLAnalytics
View →

🏠 House Price Prediction

Advanced regression with feature engineering for property price prediction.

RegressionML
View →

♟️ Alpha-Beta Pruning

Optimized Minimax algorithm for game decision making via pruning.

AIGame Theory
View →

📉 Linear Regression

Regression model for continuous outcome prediction with performance evaluation.

RegressionML
View →
View All on GitHub →

Work Experience

Sept 2024 – Present
AI/ML Engineer
Sync AI, New York, USA  ↗ justsync.ai
  • Built AI/ML solutions for business workflows using Python, ML, and data-driven optimization techniques.
  • Developed LLM-powered and LangChain-based workflows to automate analysis, ranking, and decision-support use cases.
  • Created intelligent scoring systems using ensemble models (XGBoost, Random Forest) for prioritization.
  • Designed dashboards, reports, and visualizations to communicate cost-benefit analysis to stakeholders.
  • Delivered applied AI initiatives involving predictive modeling, workflow automation, and efficiency improvements.
PythonLangChainXGBoostLLMsPower BI
May 2024 – Aug 2024
Machine Learning Co-op
ZS Analytics LLC  ↗ zsanalytics.com
  • Designed end-to-end ML lifecycle for email marketing using MLOps best practices, achieving strong model accuracy and measurable ROI improvement.
  • Built ML pipelines for data ingestion, preprocessing, training, deployment, and retraining with Azure ML Studio and AKS.
  • Developed a RAG pipeline using LangChain, GPT-4, and ChromaDB to index large-scale documents and reduce response latency.
  • Implemented MLOps pipelines with Azure DevOps CI/CD, REST API integration, and Azure Monitor.
  • Delivered insights through Power BI dashboards to support data-driven marketing strategies.
Azure MLLangChainGPT-4ChromaDBMLflowAKSRAG
Aug 2018 – Dec 2022
Data Scientist
Spring ML  ↗ egen.ai
  • Built ETL pipelines with SQL, Pandas, and NumPy to extract, clean, and structure large datasets for analysis.
  • Conducted EDA using univariate, bivariate, and multivariate techniques to uncover business trends.
  • Built clustering models for customer segmentation improving targeting and retention strategies.
  • Delivered actionable insights on pricing, promotions, and inventory optimization.
  • Designed interactive dashboards with Matplotlib, Seaborn, and Power BI for KPI tracking.
PythonSQLScikit-learnPower BIPandasSeaborn

Academic Background

Master's Degree

Yeshiva University

MS in Artificial Intelligence

Jan 2023 – May 2024 · New York, USA
GPA: 4.0 / 4.0
  • Core coursework: Machine Learning, Deep Learning, Advanced NLP, Computer Vision, Cloud Computing
  • Built projects in Generative AI, RAG pipelines, and agentic workflows using LangChain & LangGraph
  • Strengthened applied skills in prompt engineering, deep learning architectures, and MLOps
Bachelor's Degree

JNTU Hyderabad

BE in Electrical & Electronics Engineering

Aug 2011 – June 2015 · Hyderabad, India
  • Strong foundations in Linear Algebra, Probability, Statistics — core to AI & ML
  • Data Structures & Algorithms, computational thinking and software design
  • Programming fundamentals in C, C++, and Java; quantitative reasoning skills

Let's Connect

Open to opportunities.

I'm actively looking for AI Engineer, ML Engineer, Generative AI Engineer, and Data Scientist roles. Whether it's a full-time position, collaboration, or just a conversation — I'd love to connect.