Mohana Nitej Mithinti
@mohananitejmithinti
I build production GenAI and agentic LLM applications, orchestrating multi-agent RAG and NLQ-to-SQL for high-impact workflows.
What I'm looking for
I’m a GenAI / Agentic AI Engineer with 3+ years of software engineering experience shipping production-grade LLM applications across energy, manufacturing, HSE, and financial workflows.
I specialize in multi-agent orchestration (LangChain, LangGraph), Agentic RAG, and NLQ-to-SQL agents, combining layered prompt engineering with groundedness checks, citation enforcement, and read-only SQL validation to improve reliability and business outcomes.
In my recent work, I architected and shipped a multi-tenant FastAPI GenAI platform with JWT auth and Azure deployment, enabling unstructured RAG and NLQ-to-SQL across isolated client schemas. I delivered measurable gains—improving answer relevance by 35–45%, cutting manual analyst effort by ~60%, and reducing hallucinations by ~40% through a modular prompt architecture and stronger validation.
I also lead end-to-end POCs—from architecture through client demos to Azure deployment—while mentoring engineers and partnering with cloud, data, and security teams. Whether it’s building multi-agent troubleshooting systems, parallel LLM pipelines, or LLMOps with LangSmith, I focus on scalability, security, and enterprise-ready performance.
Experience
Work history, roles, and key accomplishments
Software Engineer - GenAI
Biz-metric Partners Inc.
Feb 2025 - Present (1 year 3 months)
Architected and shipped a multi-tenant FastAPI GenAI platform with JWT auth and Azure hosting, enabling unstructured RAG and NLQ-to-SQL across isolated client schemas. Built LangGraph agentic RAG and an NLQ-to-PostgreSQL SQL agent, improving answer relevance 35–45% and reducing manual analyst effort ~60%.
AI Full Stack Developer
Arizona State University
May 2024 - Jan 2025 (8 months)
Reduced AWS Lambda compute time 95% by implementing semantic chunking and batched LLM embedding requests in a RAG pipeline indexing Google Drive content into OpenSearch. Containerized the application and shipped CI/CD using SageMaker testing, ECR, and AWS Lambda.
Software Engineer
Algonox Technologies Pvt Ltd
Aug 2020 - Jun 2022 (1 year 10 months)
Designed and maintained a Python FastAPI microservice on Azure, leading REST services, CI/CD, Docker, and EC2, cutting maintenance cost 70% and improving business-requirement throughput 25%. Resolved 700+ complex technical cases, authored 30+ KB articles, automated ETL scripts (case lifecycle ↓50%), and mentored 3 interns.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Master of Science, Computer Science
2022 - 2024
Grade: GPA 3.97
Earned an M.S. in Computer Science (GPA 3.97) at Arizona State University from August 2022 to May 2024.
KL University
Bachelor of Technology, Computer Science Engineering
2016 - 2020
Grade: GPA 3.25
Earned a B.Tech. in Computer Science Engineering (GPA 3.25) at KL University from June 2016 to June 2020.
Tech stack
Software and tools used professionally
Apache Spark
Power BI Embedded
Chart.js
Microsoft Azure
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
DB
PostgreSQL
MongoDB
Hadoop
Gmail
Google Drive
Databricks
Azure DevOps
JavaScript
Java
PyTorch
MLflow
Kafka
FastAPI
Elasticsearch
Azure Cognitive Search
OpenSearch
AWS Lambda
SQL
Azure Cosmos DB
Hugging Face
LangChain
LlamaIndex
Foundry
Pinecone
CrewAI
Azure Container Apps
Cosmos
pgvector
Agentic
LangGraph
LangSmith
Microsoft Fabric
Jan
Azure AI Foundry
Availability
Location
Authorized to work in
Job categories
Skills
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