About Experience Skills Projects Contact

Hi, I'm

Aashrit
Bagareddy.

AI/ML Engineer

I build production ML systems, real-time inference pipelines,
and LLM-powered agentic AI applications at scale.

Aashrit Bagareddy
0+ Years Experience
0+ Models Deployed
0K+ Revenue Generated

01. About Me

I'm an AI/ML Engineer with 4 years of experience designing, training, and deploying production machine learning systems at scale — from deep learning model development and real-time inference pipelines to LLM-powered agentic AI applications.

At Quantico Energy Solutions, I built QLogRT, an on-premises real-time ML inference platform comprising 9 containerized microservices that generates $700K+ in revenue. I've improved model accuracy by 40%+, extended prediction range by 2.5×, and managed 100+ model versions end-to-end.

I hold a Master's from Texas A&M University (GPA: 3.9) and certifications in IBM AI Engineering, IBM RAG & Agentic AI, and AWS Cloud Practitioner.

Real-Time ML

Production inference pipelines with <10s latency across 9 microservices

Deep Learning

Ensemble models (LSTM, TCN, Transformers) with 40%+ error improvement

Agentic AI

Multi-agent systems with LangGraph, RAG, and local LLM inference

02. Experience

Data Scientist 2

Quantico Energy Solutions

Jan 2024 — Present
  • Built QLogRT — 9-microservice real-time ML platform generating $700K-$800K revenue
  • Developed deep learning ensembles (LSTM, TCN, FF) extending prediction from 30-40ft to 100ft (2.5×)
  • Designed multi-agent AI system with LangGraph over 22K-document ChromaDB vector store
  • Prototyped LLM-orchestrated training workflows with natural language experiment configuration

Data Scientist 1

Quantico Energy Solutions

Jun 2022 — Jan 2024
  • Delivered ML solutions contributing ~$1M in revenue through project delivery
  • Built production real-time platform with <10s inference latency, scaled to 2-3× peak traffic
  • Implemented MLOps with MLflow across 100+ model versions; CI/CD via GitHub Actions to AWS
  • Engineered geospatial model selection using H3 hexagonal indexing with SHAP explainability

Intern

Quantico Energy Solutions & Petrabytes Corp

Jan 2022 — Jun 2022
  • Data warehousing and ETL with PySpark and Databricks
  • Streamlined data processing workflows for energy analytics

03. Skills & Tools

Languages & Data

Python JavaScript TypeScript SQL Node.js PostgreSQL MongoDB PySpark

Deep Learning & ML

PyTorch TensorFlow Keras Transformers LSTM TCN CNN GAN scikit-learn NumPy

Model Serving

Real-Time Inference TF Serving ONNX Model Quantization GPU / CUDA Streaming Prediction

LLMs & Agentic AI

LangChain LangGraph LlamaIndex RAG ChromaDB FAISS HuggingFace Ollama Prompt Engineering

MLOps & Infra

Docker Kubernetes MLflow AWS GCP CI/CD GitHub Actions

APIs & Architecture

FastAPI Flask Microservices REST APIs WebSockets Streamlit Plotly Dash

04. Featured Projects

QLogRT Platform

On-premises real-time ML inference platform with 9 containerized microservices. Serves streaming predictions with <10s latency. FastAPI, MongoDB, MLflow, Plotly Dash, Docker Compose.

PyTorchFastAPIDockerMLflowMongoDB
$700K+ Revenue 9 Microservices

Well Data AI System

Multi-agent pipeline with LangGraph — RAG retrieval, anomaly detection, well comparison, and gamma prediction agents over 22K+ documents in ChromaDB with local LLM inference via Ollama.

LangGraphChromaDBOllamaFastAPIRAG

Deep Learning Ensembles

20+ member ensemble models (LSTM, TCN, Feed-Forward NNs) for real-time well log prediction on streaming WITSML data. Extended prediction range from 30-40ft to 100ft with 40%+ error improvement.

PyTorchLSTMTCNEnsembleReal-Time
40%+ Error Reduction 2.5× Range

RAG Search Stack

Vector search and retrieval API with ChromaDB, sentence-transformers, and FastAPI. Supports semantic search with hybrid retrieval and reranking for domain-specific documents.

ChromaDBFastAPIEmbeddingsReranking

05. Education & Certifications

Texas A&M University

M.S. Petroleum Engineering

GPA: 3.9

Birla Institute of Technology

B.E. Mechanical Engineering

India

Certifications

  • IBM AI Engineering Professional
  • IBM RAG & Agentic AI Professional
  • AWS Cloud Practitioner (CCP)

Let's Build Something
Together.

I'm always open to discussing new opportunities, interesting projects, or just connecting with fellow engineers and researchers.