Chetana Muralidharan

Data Engineer

San Jose, California, United States2 yrs 11 mos experience

AI EnabledHighly Stable

Key Highlights

Reduced data processing time from 6 hours to 45 minutes.
Built generative AI models and systems from scratch.
Developed an automated PII detection system for legal compliance.

Stackforce AI infers this person is a Data Engineering and AI specialist with a focus on building scalable data solutions.

Contact

Skills

Core Skills

Generative AiPythonData EngineeringEtl DevelopmentNatural Language ProcessingData PrivacyMobile DevelopmentFull Stack Development

Other Skills

LangChainPython (Programming Language)PyTorchLLM systemsSnowflakeTalend StudioSQLTalendNLPspaCyAndroid DevelopmentJavaAndroid StudioPHPMySQL

About

I've always been drawn to the messy side of data, the kind where the relationships between systems matter as much as the data itself, where getting it wrong has real consequences. At Accenture, I spent three years in the weeds of enterprise data pipelines. I owned 60+ ETL and ELT workflows, cut processing time from 6 hours to 45 minutes, and built the kind of automated validation frameworks that let teams trust their data without thinking twice. That experience gave me a strong sense of what production-ready actually feels like. My graduate work at SJSU pushed me in a different direction, toward building AI systems from the ground up. Graph intelligence engines, neural speech decoders, RAG pipelines, multimodal agents. I also spent a semester as an Instructional Student Assistant for a Generative Models course, designing assignments and debugging 100+ student implementations spanning Transformers, diffusion models, LoRA fine-tuning, and multimodal agents. This forced a different kind of depth: you understand something differently when you have to teach it, debug it in someone else's code, and explain why it breaks. I recently completed my M.S. in Applied Data Intelligence at SJSU (GPA 3.88) and am actively looking for Data Engineering, Analytics Engineering, AI/ML and Software Engineering roles. If you're building data-heavy systems or infrastructure for AI, I'd be glad to connect.

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

Current Experience

San josé state university

Instructional Student Assistant (ISA) – Generative Models

Jan 2026 – May 2026 · 4 mos · San Jose, CA · On-site

Built core generative AI models from scratch using PyTorch, including a Transformer-based GPT-style language model (100K+ samples), GANs, VAEs, and DDPM diffusion models.
Developed end-to-end LLM systems, including RAG pipelines with vector databases and embedding-based retrieval, and multi-agent workflows using LangChain.
Designed and deployed 10+ assignments and 2 full-scale labs spanning LLM fine-tuning (LoRA/PEFT), Stable Diffusion applications, multimodal models, and inference optimization (KV cache, quantization) for 35+ graduate students.
Debugged and validated 100+ student implementations across model architectures, training pipelines, and data workflows, ensuring reliable end-to-end system execution.

LangChainPython (Programming Language)Generative AIPython

Accenture

Full Stack Engineer Analyst

Aug 2021 – Jul 2024 · 2 yrs 11 mos · India

1) As a Data Engineer specializing in ETL development, I led the optimization and management of 60+ data pipelines using Talend Studio and Talend Cloud. My role focused on designing end-to-end ETL workflows and implementing scalable data solutions.
Key Achievements:*
Transformed data accessibility by creating standardized data flows from multiple sources (Amazon S3, APIs, Excel, CSV) into Snowflake, reducing ad-hoc requests by 60%
Engineered a performance breakthrough by reducing full data refresh cycles from 6 hours to 45 minutes through innovative incremental loading techniques and parallel processing
Developed an automated data quality framework that achieved 98% improvement in accuracy while minimizing manual reconciliation efforts
Core Responsibilities:*
I designed and deployed data warehouse objects in SQL Server and Snowflake while managing ETL batch processes across multiple platforms. My work included creating reusable components and implementing automated monitoring solutions that reduced pipeline downtime by 25%.
My technical expertise centers on Talend's ETL suite, where I've mastered advanced components (tMap, tJoin, tFlowToIterate) and integrated custom Java-based logic to solve complex transformation challenges. I've consistently delivered solutions that balance technical excellence with tangible business outcomes.
2) As a Python Developer, I specialized in Natural Language Processing (NLP) and data privacy solutions, building and optimizing an automated PII detection system to enhance compliance workflows for legal documents.
Developed a Python-based PII detection system using Microsoft Presidio and spaCy NLP, achieving 75% accuracy in identifying and redacting sensitive information.
Enhanced Named Entity Recognition (NER) models to detect domain-specific identifiers, reducing manual review time by 60% while ensuring data privacy compliance.
Implemented custom tokenization, regex-based rules, improving entity identification.

SnowflakeETL DevelopmentTalend StudioSQLData Engineering

Vaap technologies inc

Android Developer Intern

Oct 2020 – Dec 2020 · 2 mos · Virginia, United States · Remote

During my Android Development Internship, I worked on developing an android application that assists the educating process of differently abled students. I developed end-to-end workflows using Android Studio, leveraging real-time data from servers to create diverse layouts. Additionally, I played a vital role in designing a set of user-friendly interfaces for an Android application tailored to support differently abled children in their learning endeavors. These engaging UIs were meticulously crafted using Adobe XD.
This experience helped me understand the importance of good UI and I learnt to collaborate and work with my teammates.

Android DevelopmentJavaMobile Development

Prinston smart engineers

Full-stack Developer Instructor

Oct 2020 – Nov 2020 · 1 mo · India · Remote

As a Full Stack Development Instructor, I conducted daily sessions crafted over the course of a month for 40 students. My responsibilities included designing a thorough course that covers the entire end to end application development including front end and back end and guiding the students through the entire process.
As a part of front-end I taught my students the importance of good User Interface i.e., forms, navigations, visual effects etc., and User Experience through the help of technologies like HTML, CSS, JavaScript.
As a part of backend, I trained my students on PHP to handle the logic, functioning of the core of the application and to handle the requests and responses.
The course also included sessions on MySQL for storing the data in databases which were queried using SQL.
To give them a thorough knowledge I guided my students through hands-on project where they could apply the knowledge they acquired.
At the end of the month, my students had a strong understanding of all the components and aspects that comprised the creation of an application from the start to finish.

PHPMySQLFull Stack Development