Systems I Built
A showcase of my projects spanning production RAG systems, LLM observability, AI applications, and data analytics.
Experience
From Electrical Engineer to full-stack data development, my path has been driven by a passion for solving complex problems with data and code.
Master of Science in Data Science, Statistics @ New Jersey Institute of Technology (NJIT), Newark, NJ
AI Engineer @ Endeavour Technologies — Jersey City, NJ
- Created an AI-first workflow using Claude Code to build internal tools: AI writes Python and React code, engineers review on GitHub before shipping, adopted by operations teams daily.
- Built a financial document search system using Python, Pinecone, BM25, Cohere, LangChain, and OpenAI to retrieve and verify answers so analysts spend time on analysis instead of fact-checking.
- Implemented query expansion and multi-hop reasoning to improve retrieval accuracy on complex financial queries, enabling the system to understand nuanced questions across multiple documents.
- Implemented end-to-end LLM application tracing using Langfuse and Python to observe all application calls and identify bottlenecks, so engineers debug issues faster without guessing.
- Built real-time dashboards using Prometheus, Grafana, MySQL, and Elasticsearch to track infrastructure and application health, enabling the team to catch and fix problems instantly.
- Implemented end-to-end ML pipelines using Python and Kubernetes automating data ingestion, feature engineering, model training, packaging, and deployment with Ragas evaluation so models ship without manual bottlenecks.
- Built feature pipelines with validation and versioning to ensure data quality across ML models, preventing model degradation from bad data entering production.
Software Engineer Fellow @ Headstarter AI — NYC, USA
- Shipped production AI applications using Python, FastAPI, OpenAI, Pinecone, and Stripe handling real payments and customer data from design to deployment.
- Implemented CI/CD pipelines using Python and GitHub Actions for automated testing, versioning, and reproducible deployments across dev, staging, and production environments.
- Led engineers through full development cycles, reviewing architecture and code quality to ship projects on schedule without technical debt.
- Deployed on AWS with GitHub Actions CI/CD and automated tests to catch problems before users encounter them, ensuring system reliability as requirements changed.
Software Engineer @ Google (client via Accenture) — Hyderabad, India
- Fixed Bard's (now called Gemini) harmful responses using Python regex patterns to filter political bias, sexual content, hate speech, and misinformation so users got helpful answers.
- Validated content filtering by regenerating responses in production before releases, confirming harmful content was blocked.
Software Engineer @ Accenture — Hyderabad, India
- Built NLP classification and ranking models using Python and transformer-based architectures to replace generic recommendations, deployed across apps so users found relevant content.
- Automated ML workflows using Python automating data prep, model training, testing, packaging, and deployment to eliminate manual bottlenecks in release cycles.
- Shipped full-stack features across .NET, C#, React, Angular, and Node.js for enterprise clients, owning the entire path from API design to production.
- Optimized REST endpoints and SQL Server databases using Python and SQL, tuning queries and adding caching so users got instant responses.
- Mentored junior engineers on building and shipping ML systems; two led independent AI projects for clients.
Stack
The tools I build production AI systems with, ordered by where my depth actually sits.
AI & LLM Systems
Model frameworks, retrieval, and LLM tooling.
PyTorch
LangChain
OpenAI
Hugging Face
TensorFlow
Scikit-learn
MLflow
Databricks
ML Infrastructure & DevOps
Deployment, orchestration, and cloud infrastructure.
Kubernetes
Docker
AWS
Azure
Google Cloud
Apache Airflow
Jenkins
Kafka
GitHub Actions
Linux
Backend & APIs
Services and datastores behind the AI systems.
FastAPI
Flask
PostgreSQL
MySQL
MongoDB
Data & Analytics
Processing, analysis, and reporting.
Python
Pandas
NumPy
Apache Spark
Hadoop
Snowflake
dbt
R
Tableau
Power BI
Jupyter
Matplotlib
Frontend
Used for internal tools and project frontends.
JavaScript
TypeScript
React
About
Yashwanth Reddy Boddireddy
AI Engineer specializing in production GenAI and ML systems, helping organizations leverage data for competitive advantage. With experience at Endeavour Technologies, Headstarter AI, and Accenture (including a client engagement with Google), I focus on developing intelligent systems that enhance user experiences.
I combine technical expertise with business acumen, following a systematic approach: understanding requirements, designing data-driven architectures, and implementing scalable solutions with measurable results.
Let's Talk
Open to full-time AI Engineer roles. If your team is hiring or you'd like to talk about a fit, I'd love to hear from you.
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