Work Experience

Senior AI Engineer Toyota Motors Plano-Texas, USA

July 2024 - present

In brief:

Leading one GenAI product for Toyota Motors with a team of 5, incorporating AI-research, backend, and infra.
Developed RAG product for Toyota’s manufacturing, processed 5TB+ unstructured data for real-time query resolution which resulted in 25% increase in fault detection at Battery manufacturing plant.
Developed core framework to streamline data ingestion for all AI based applications across Ascentt and Toyota.
Developed knowledge graph for the 5TB+ motor manufacturing data to feed into RAG as a source of truth.
Fulltime @ Ascentt and consilting to Toyota Motors on contract.

Januray 2024 - July 2024

In this exponentially growing AI/ML, I am trying to develop a construction domain specific “AI”

In brief:

Working in an early stage startup in Software Engineering to build product from base.
Integrating ML-LLMs for easy usage by end-users.
Technological stack consist of : ** Working on vectorDB, Langchain and developing a RAG system. ** Fine Tuning the Multi-modality Layout LLM model with parameter-efficient-fine-tuning with quantization, mixed precision. ** TextOCR using pytesseract, generating training dataset and designing ETL pipeline. ** Developing ML{train-test-infer} pipeline. ** Conducted exploratory data analysis (EDA), identifying key insights to inform model development. ** Developed TDD-oriented REST APIs and microservices using Agile SDLC framework and MVC design patterns. ** Conducted weekly sprint meetings and intra-team research discussions to explore and adopt GenAI technologies.
Proficient in using Jupyter Notebook, Exploratory Data Analysis(EDA), E-T-L and ML pipeline, Finetuning, PyPlot, Seaborn, Pandas, Numpy, Scikit learn, and neural net libraries, LLM, vectorDB, RAG-querying system, AWS services, Docker.
Python, Php, MySQL, System Design, REST APIs design, Javascript, MVC-design, AGILE-developement.

September 2019 - August 2021

Fintech domain Software Engineer, who worked on payments gateways, and onboarding ecosystem.

In brief:

Designed and implemented Java-based REST APIs for runtime distributed caching reloads on production servers.
Resolved critical production issues related to payment gateway response times, system overloads, and downtimes.
Managed production releases on AWS EC2 using CI/CD pipelines.
Collaborated with cross-functional teams (QA, Product) and assisted in A/B and user acceptance testing (UAT).
Gained hands-on experience with cloud technologies and container systems such as Docker and Kubernetes.
Worked on ML models design
Technical Stack: Java, Rest APIs, MySQL, System design, Monolithic and Microservice Architecture, Business Logic Algorithm Design, Kibana-queries, Grafana log analysis, On-Call production bugs resolutions.

June 2018 - September 2019

Worked on full-stack development of Bus B2B booking product, integration of Swagger for system-wide API documentation.
Collaborated with the expense management team to develop a microservice for a deep learning OCR parsing model, enhancing B2B expense operational efficiency by 40% and accuracy of 97%.
Revampedthefront-enddesignforsearch result pages using React-JS.

June 2017 - August 2017

Developed Java-Spring-MVC based Biometric attendance analysis REST APIs for ERP tool used in Zillious Solutions .
Developed UI/UX for the ERP tool and a detailed leave tracking analysis dashboard for the tool.
Tech-stack: Java, Spring-MVC, JavaScript, MySQL, Spring-security, SDLC, Jenkins, CI/CD.

January 2022 - December 2023

Led weekly labs and assisted students in assignments and data structure concepts.
Held weekly office hours for student assistance on assignments and facilitated group discussions.

November 2021 - May 2023

Developed a data analysis tool for hiring practices at CSU, funded by NSF.
Designed and developed a website for the KIND Program funded by NSF-ADVANCE grant.
KIND Program Website

Deep Learning Model Design, Classification, Regression Models, Load-Train-Test-Deploy-Inference Pipeline, ETL Pipeline
ML Libraries : GBM, XGBoost, LightGBM, L1/L2 and Elastic Net regularization
LLM’s Fine Tuning(PeFT- LoRA, qLoRA), Prompt Engineering
Metaheuristic Search Algorithm Design, VectorDB, AWS-Sagemaker
Huggingface-Libraries, Transformer Architecture, RAG Architecture

Data Structure, System Design, Object Oriented Programming (OOP), SDLC, Agile Development, TDD
Analytical Skills, Problem Solving, Communication Skills