AJAY KUMAR REDDY NELAVETLA
@ajaykumarreddynelave
AI/ML engineer building production-grade generative AI systems and scalable ML infrastructure.
What I'm looking for
I am an AI/ML engineer with 5+ years of experience building production-grade generative AI systems and multi-agent architectures, focused on reliable, low-latency solutions.
I have shipped multiple GenAI applications with high retrieval accuracy and response rates, and designed RAG pipelines using Pinecone and Weaviate to support large-scale semantic search and recommendation systems.
In production I architect and operate ML pipelines and MLOps infrastructure on AWS and Kubernetes, implementing CI/CD, monitoring, security controls, and disaster recovery to achieve enterprise SLAs and 99.9% uptime.
I also build voice/chat interfaces and real-time streaming systems, optimize performance for sub-100ms latency, and emphasize data governance, observability, and scalable multi-tenant SaaS architectures.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
FolderWave
Jan 2024 - Present (2 years 1 month)
Architected and operated production ML pipelines and LLM-based systems for an enterprise automation platform, processing 500K+ daily interactions and achieving 95% retrieval accuracy and 99.9% uptime SLA.
Full Stack Developer
IdeaBytes
Jan 2019 - Jan 2022 (3 years)
Built and operated production data infrastructure and REST APIs serving 10,000+ concurrent users, implemented Spark/Hadoop ETL pipelines and DevOps practices to maintain 99.9% availability.
Education
Degrees, certifications, and relevant coursework
Northeastern University
Master of Science, Software Engineering
2022 - 2023
Completed a Master of Science in Software Engineering focusing on software engineering principles and applied systems development.
Jaya Bharathi Institute of Technology
Bachelor of Technology, Electronics and Communication Engineering
2016 - 2020
Completed a Bachelor of Technology in Electronics and Communication Engineering with coursework in electronics and communication systems.
Tech stack
Software and tools used professionally
Apache Spark
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Debezium
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Node.js
Django
Spring Boot
Redis
Terraform
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Kafka
FastAPI
Grafana
Prometheus
Datadog
GraphQL
OAuth2
BeautifulSoup
Airflow
s3-lambda
SQL
XGBoost
LightGBM
CatBoost
LangChain
LlamaIndex
Weaviate
Weights & Biases
Pinecone
Railway
OpenAI API
Faiss
LangGraph
100ms
Availability
Location
Authorized to work in
Job categories
Skills
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