Aniket Chowdhury profile photo 1 on Tal

Aniket Chowdhury

Machine Learning Engineer @ Accenture | Data Scientist | Python | Gen AI | Machine Learning

Bengaluru

4+ years of work experience

Accenture
Dec 202510 mosPresent

Hybrid

• Built an LLM agent for automated STTM-to-PySpark conversion with 85% accuracy on medium-complexity repositories. • Developed an AI agent for generating STTM documentation from legacy Hadoop codebases using code understanding and structured prompting. • Researched enterprise RAG architectures using BERT embeddings and semantic retrieval for domain-specific LLM assistants. • Designed standardized STTM metadata schemas to improve retrieval quality and downstream automation. • Reverse engineered Hadoop ETL pipelines to extract lineage and transformation logic for cloud migration initiatives
Accenture
Mar 20241 yr 10 mosDec 2025

On-site

• Developed PySpark-based transformations for large-scale data processing, optimizing job performance and ensuring scalability across cloud environments. • Contributed to a large-scale Azure cloud migration, modernizing legacy data systems for a leading North American bank. • Built metadata-driven ETL frameworks and ADF + Databricks pipelines using Medallion Architecture, reducing manual configuration through dynamic schema extraction. • Developed ADF orchestration with triggers, scheduling, and dependency management for reliable pipeline execution. • Implemented proactive monitoring and alerting via SQL Server logs and pipeline/file watchers, improving real-time issue detection.
dataX.ai
Sep 20237 mosMar 2024

On-site

• Engineered a organization-wide Streamlit platform integrating data + AI pipelines for demos and UAT, for 300+ users and reducing dependency on engineering teams. • Resolved HTTPS 1.1 upload limits via secure token-based transfers and OAuth validation, improving throughput and platform performance. • Built image processing pipelines using OpenCV, TensorFlow, and PyTorch for classification and analysis of industrial visual data. • Automated extraction of web/PDF text and images using OCR, PyMuPDF, and Scrapy to classify data and generate 10,000+ structured product SDS. • Applied GPT-4 with LangChain to context-adapt industry-specific datasets for summarization, attribute extraction, and document classification.
dataX.ai
Sep 20221 yrAug 2023

Remote

• Reduced image transformation time by 75% using asynchronous and multithreaded workflows (asyncio, concurrent.futures). • Developed an annotation app using LabelImg and custom scripts to generate YOLO datasets for computer vision model training. • Built data pipelines with Pandas and NumPy to merge image metadata into structured CSV/JSON formats for model training • Extracted and processed unstructured text using regex, spaCy, and NLTK, including keyword extraction for industrial reporting

Aniket’s AI Stack

github copilot
github copilot
hugging face
hugging face
langchain
langchain
ollama
ollama
openai
openai
huggingface
huggingface

Education

Jaypee University of Engineering and Technology

Bachelor's of Technology, Computer Science and Engineering

Jaypee University of Engineering and Technology

20194 yrs2023

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Headline

Machine Learning Engineer @ Accenture | Data Scientist | Python | Gen AI | Machine Learning

Location

Bengaluru

AI stack

github copilot

hugging face

langchain

ollama

openai

huggingface

Work experience

AI/ML Computational Science Associate at Accenture, Dec 2025 - Present · 10 mos, Hybrid, • Built an LLM agent for automated STTM-to-PySpark conversion with 85% accuracy on medium-complexity repositories. • Developed an AI agent for generating STTM documentation from legacy Hadoop codebases using code understanding and structured prompting. • Researched enterprise RAG architectures using BERT embeddings and semantic retrieval for domain-specific LLM assistants. • Designed standardized STTM metadata schemas to improve retrieval quality and downstream automation. • Reverse engineered Hadoop ETL pipelines to extract lineage and transformation logic for cloud migration initiatives

Data Eng, Mgmt and Governance Associate at Accenture, Mar 2024 - Dec 2025 · 1 yr 10 mos, On-site, • Developed PySpark-based transformations for large-scale data processing, optimizing job performance and ensuring scalability across cloud environments. • Contributed to a large-scale Azure cloud migration, modernizing legacy data systems for a leading North American bank. • Built metadata-driven ETL frameworks and ADF + Databricks pipelines using Medallion Architecture, reducing manual configuration through dynamic schema extraction. • Developed ADF orchestration with triggers, scheduling, and dependency management for reliable pipeline execution. • Implemented proactive monitoring and alerting via SQL Server logs and pipeline/file watchers, improving real-time issue detection.

Data Science Associate at dataX.ai, Sep 2023 - Mar 2024 · 7 mos, On-site, • Engineered a organization-wide Streamlit platform integrating data + AI pipelines for demos and UAT, for 300+ users and reducing dependency on engineering teams. • Resolved HTTPS 1.1 upload limits via secure token-based transfers and OAuth validation, improving throughput and platform performance. • Built image processing pipelines using OpenCV, TensorFlow, and PyTorch for classification and analysis of industrial visual data. • Automated extraction of web/PDF text and images using OCR, PyMuPDF, and Scrapy to classify data and generate 10,000+ structured product SDS. • Applied GPT-4 with LangChain to context-adapt industry-specific datasets for summarization, attribute extraction, and document classification.

Data Science Intern at dataX.ai, Sep 2022 - Aug 2023 · 1 yr, Remote, • Reduced image transformation time by 75% using asynchronous and multithreaded workflows (asyncio, concurrent.futures). • Developed an annotation app using LabelImg and custom scripts to generate YOLO datasets for computer vision model training. • Built data pipelines with Pandas and NumPy to merge image metadata into structured CSV/JSON formats for model training • Extracted and processed unstructured text using regex, spaCy, and NLTK, including keyword extraction for industrial reporting

Education

Bachelor's of Technology, Computer Science and Engineering, Jaypee University of Engineering and Technology