Srikanth Reddy Nandireddy | ML Engineer & Data Scientist

ML Engineer &
Data Scientist

I don't just build models — I ship ML systems. My work spans the full stack: statistical research through model training, containerized deployment, REST APIs, and CI/CD automation on AWS.

Currently an M.S. student in Data Science & AI at the University of Central Missouri with a perfect 4.0 GPA, I spend my time building production RAG pipelines, multimodal deep learning systems, and real-time fraud detection APIs you can actually hit with a curl command.

I'm looking for full-time & internship roles in Data Science, ML Engineering, or Applied AI in the United States — available immediately.

Featured · RAG + LLM Pipeline

arXiv RAG — Semantic Research Q&A System

Production-structured RAG pipeline answering questions over 120 arXiv ML papers. Rigorously benchmarks BGE, MPNet, MiniLM vs BM25 across chunk sizes and generation quality. BGE achieves perfect MRR 1.000 — 7.7× Answer Relevance over BM25 (0.910 vs 0.118).

MRR 1.000 (BGE)Precision@5 · 97.5%Faithfulness · 97.8%120 arXiv Papers

PythonFAISSSentenceTransformersGemini 2.5 FlashBM25StreamlitPyMuPDF

GitHub

Featured · Production MLOps · AWS

Real-Time Credit Card Fraud Detection

End-to-end production ML system. Automated GitHub Actions CI/CD trains, evaluates, and promotes models to MLflow Model Registry (PostgreSQL RDS). Dockerized FastAPI inference API behind Nginx on AWS EC2. XGBoost & Random Forest hit ROC-AUC 1.000 with SMOTE-balanced pipeline.

ROC-AUC 1.000MLflow RegistryCI/CD AutomatedAWS Deployed

XGBoostMLflowFastAPIDockerAWS EC2RDSS3GitHub ActionsNginx

GitHub

🎭 Deep Learning · Multimodal Fusion

Multimodal Emotion Recognition via Cross-Modal Transformers

Fuses text (BERT), audio (Wav2Vec2), and video (ViT) using a custom 4-layer Transformer Encoder (8 attention heads) for 7-class emotion classification on MELD. Mixed-precision AMP training, staged fine-tuning, cached tensor preprocessing, and class-weighted loss for minority emotion handling.

Accuracy · 59.96%Weighted F1 · 60.66%3 Modalities Fused

PyTorchBERTWav2Vec2ViTHuggingFaceAMPOpenCVLibrosa

GitHub

📰 NLP · Transformers vs Classical

Fake News Detection — Classical NLP vs Transformers

Systematic comparison of TF-IDF + Logistic Regression vs fine-tuned DistilBERT on 62K+ articles. Dynamic F1-threshold optimization, NLTK preprocessing, feature explainability from TF-IDF weights, and real-time NewsAPI integration for live article classification via Streamlit.

62K+ ArticlesDistilBERT Fine-tunedDynamic Threshold

PyTorchDistilBERTTF-IDFScikit-learnNLTKStreamlitNewsAPI

GitHub

Live · Time Series · Deployed on Render

US COVID-19 Mortality Intelligence & Forecasting System

End-to-end epidemiological forecasting: live JHU data ingestion → preprocessing → feature engineering → multi-model benchmarking (SARIMAX, Prophet, XGBoost) → interactive Plotly Dash dashboard with 30-day forecasts and 95% CI bands. Seasonal SARIMAX(1,1,1)(1,1,1,7) wins with Holdout MAE 138.14 ≈ CV MAE 137.86 — near-zero overfitting confirmed across 5-fold rolling cross-validation.

Holdout MAE · 138.14CV MAE · 137.8630-Day Forecast · 95% CI3,300+ Records5-Fold Rolling CV

PythonSARIMAXProphetXGBoostPlotly DashStatsmodelsDockerRender

GitHub Live Dashboard

ML Engineer &
Data Scientist

Tech Stack

Featured Projects

arXiv RAG — Semantic Research Q&A System

Real-Time Credit Card Fraud Detection

Multimodal Emotion Recognition via Cross-Modal Transformers

Fake News Detection — Classical NLP vs Transformers

US COVID-19 Mortality Intelligence & Forecasting System

Professional History

Academic Background

Certifications

Honors & Awards

Medium Articles

Let's Connect

ML Engineer &Data Scientist

Tech Stack

Featured Projects

arXiv RAG — Semantic Research Q&A System

Real-Time Credit Card Fraud Detection

Multimodal Emotion Recognition via Cross-Modal Transformers

Fake News Detection — Classical NLP vs Transformers

US COVID-19 Mortality Intelligence & Forecasting System

Professional History

Academic Background

Certifications

Honors & Awards

Medium Articles

Let's Connect

ML Engineer &
Data Scientist