Full-Stack Data Developer

Yashwanth Reddy Boddireddy

Where Data Meets Development

Transforming complex data into intuitive solutions through full-stack development and data science

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4+

Years Experience

15+

Projects Completed

10+

Technologies Mastered

About Me

My Journey

From Electrical Engineer to full-stack data development, my path has been driven by a passion for solving complex problems with data and code.

Yashwanth Reddy Boddireddy

Yashwanth Reddy Boddireddy

At the intersection of AI innovation and data science, I transform complex problems into impactful solutions that drive measurable business outcomes.

Software Engineer specializing in AI applications and machine learning, helping organizations leverage data for competitive advantage. With experience at Accenture and Headstarter AI, 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.

May 2025

Master of Science in Data Science, Statistics @ New Jersey Institute of Technology (NJIT), Newark, NJ

Data Science
Statistics
Machine Learning
Deep Learning
Software Engineering
July 2025 - Present

AI Engineer @ JPMorgan Chase & Co. — New Jersey, USA

  • Built scalable inference services handling ~60K requests/day on Kubernetes with GPU-backed infrastructure, serving real-time predictions across multiple financial business units.
  • Reduced model latency from ~900ms to ~580ms (35%) through request batching strategies and TensorRT optimization on production serving infrastructure.
  • Developed RAG pipelines combining BM25 + FAISS with Reciprocal Rank Fusion and Cohere reranking for anomaly detection and enterprise data insights, improving answer relevance from 82% to 94%.
  • Deployed and maintained production ML services through CI/CD pipelines with automated quality evaluation using Ragas, collaborating with cross-functional teams to ensure uptime.
Kubernetes
PyTorch
LangChain
OpenAI API
RAG
TensorRT
FastAPI
MLflow
Airflow
Prometheus
Grafana
GPU
FAISS
Cohere
CI/CD
Ragas
July 2024 – September 2024

Software Engineering Fellow @ Headstarter AI — Remote, USA

  • Built 5+ AI apps and APIs using FastAPI, OpenAI, Pinecone and Stripe API.
  • Successfully led 4+ engineering fellows to deliver projects from design to deployment, enhancing team productivity.
FastAPI
OpenAI
Pinecone
Stripe API
October 2020 – August 2023

AI Engineer @ Accenture — Hyderabad, India

  • Developed NLP classification and recommendation systems for enterprise applications, improving user engagement by 18% through personalized content ranking models.
  • Designed end-to-end ML pipelines for model training, validation, and deployment, reducing model release cycles from weeks to days across 6+ production solutions.
  • Built document search and Q&A systems using transformer-based architectures, enabling semantic retrieval across 500K+ enterprise documents.
  • Mentored 4 junior engineers on ML development practices and contributed to delivery of production-grade AI solutions across client engagements.
NLP
LangChain
LlamaIndex
Pinecone
FAISS
Azure OpenAI
Hugging Face
Databricks
MLflow
AWS Glue
Kinesis
Docker
Transformers
CI/CD
Machine Learning
Mentorship
Skills & Expertise

Technical Proficiency

A comprehensive overview of my technical skills in AI engineering, MLOps, generative AI, cloud infrastructure, and data engineering.

Core Competencies

Data Science & Analysis
Data Engineering
MLOps & DevOps
AI & Machine Learning
Frontend Development
Backend Development
Projects

Featured Work

A showcase of my projects spanning production RAG systems, LLM observability, AI applications, and data analytics.

Production RAG System – Ask My Docs
Production RAG System – Ask My Docs
Domain-specific document Q&A system for financial documents using hybrid BM25 + vector search with Cohere reranking. Pushed answer relevance from ~82% to 94%. Citation enforcement cut hallucinations by 40%. Ragas evaluation pipeline blocks deploys on quality regressions. Handles 500+ page docs in under 2s.
Python
LangChain
FAISS
Cohere Rerank
FastAPI
Ragas
GitHub Actions
LLM Monitoring & Observability Dashboard
LLM Monitoring & Observability Dashboard
Full observability layer over a production RAG system using Langfuse for tracing. Every query broken into retrieval, reranking, and generation time. Grafana dashboards track p50/p95 latency, token costs, and quality scores. Regression gating in CI blocks deploys when latency spikes or eval scores drop.
Langfuse
Prometheus
Grafana
Python
FastAPI
GitHub Actions
Real-Time AI Interview Assistant
Real-Time AI Interview Assistant
Next.js-based Real-Time AI Interview Assistant using GPT-4 with speech recognition and analytics dashboard for interview performance tracking.
Next.js
OpenAI GPT-4
Speech Recognition
Analytics
T20 World Cup Cricket Analytics
T20 World Cup Cricket Analytics
Power BI dashboard for T20 player selection with 90% match-winning probability using data-driven analysis.
Power BI
Python
Pandas
Data Analysis
Wine Quality Prediction
Wine Quality Prediction
MLOps-based wine quality prediction system with 97% accuracy, featuring MLflow integration and AWS deployment.
MLOps
MLflow
AWS
CI/CD
Portfolio Website
Portfolio Website
Modern, responsive portfolio website built with Next.js, featuring smooth animations and dark/light theme toggle.
Next.js
TypeScript
Tailwind CSS
Framer Motion
Contact

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Have a project in mind or interested in working together? I'd love to hear from you. Let's create something amazing.

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