Hi, I'm Munieshwar
I'm a
AI/ML Engineer & Data Specialist | Architecting GenAI agents, real-time pipelines, and data-driven solutions across cloud, NLP, and analytics stacks.
AI/ML Engineer & Data Specialist | Architecting GenAI agents, real-time pipelines, and data-driven solutions across cloud, NLP, and analytics stacks.
I’m a passionate AI/ML engineer and data-driven problem solver with hands-on experience in deploying GenAI agents, optimizing LLM pipelines, and architecting intelligent systems across industries. With a strong foundation in computer vision, NLP, and multimodal learning, I’ve designed and deployed production-grade AI systems—from driver drowsiness detection to real-time hate speech classification—leveraging cutting-edge tools like LangChain, PyTorch, Hugging Face, and Unity.
My professional journey spans across high-impact internships and roles at Pextra Inc, LTIMindtree, and KIM Fabs, where I built scalable solutions using AWS, Snowflake, Docker, and RAG-based architectures. I’m currently pursuing my Master’s in Artificial Intelligence at San Jose State University, where I continue to explore large-scale AI applications, Generative AI pipelines, and agent-based automation frameworks.
Outside work, I enjoy dissecting LLM research papers, building dreamlike visual AI experiences, and sharing technical content that simplifies deep tech for others.
Python
R
Java
SQL
JavaScript
HTML/CSS
CUDA
PyTorch
TensorFlow
Keras
NLP
LLMs
A multi-agent pipeline that scrapes AI news, classifies topics, performs research, and auto-generates well-structured content with fact-checking and publishing readiness.
A PySpark-based anomaly detection and recommendation system analyzing login, file, and web access patterns to improve security posture in enterprises.
Real-time deep learning system that detects eye states and triggers alarms to prevent road accidents due to fatigue. Trained on 7000+ images with live webcam demo.
Domain-specific RAG system built for post-surgical guidance using scraped hospital content and guideline PDFs. Features hybrid retrieval with TF-IDF + embeddings.
A computer vision pipeline that applies artistic styles to user-uploaded photos using deep convolutional networks. Creates stylized images in the form of artistic portraits.
Converts narrated dream descriptions into cinematic or 3D experiences using scene extraction, image generation, and Unity rendering using multi agents
September 2024 - Present
Building and deploying AI-powered network automation agents integrated with SONiC and multi-vendor switches.
Developing LangGraph/CrewAI based multi-agent workflows for BGP/EVPN troubleshooting and SONiC copilot.
Optimizing inference pipelines with vLLM, ONNX, and Triton for real-time agentic decision-making.
Collaborating with customer success to design AI-driven onboarding flows, CRM replacements, and knowledge base assistants.
June 2024 - August 2024
Developed a multimodal AI agent and fine-tuned LLaMA-3.2B for scalable GenAI use, enhancing accuracy and cutting infra costs at Pextra Inc.
July 2022 - June 2023
Built ML-based anomaly detection and real-time ETL pipelines with AWS Glue & Snowflake for 1.5M+ daily transactions at LTIMindtree.
July 2021 - June 2022
Deployed predictive ML models for maritime asset monitoring with FastAPI, Docker, and LSTM at K I M Fabs, improving uptime by 25%.
Febuary 2021 - June 2021
Created supervised learning models predicting student outcomes with 81% accuracy and performed KPI analytics at The Sparks Foundation.
evakattumuneshwar@gmail.com
+1 (408) 581-1652
San Jose, CA, USA.
