Shivadeep Chitla
Machine Learning Engineer
Summary
At JPMorgan Chase & Co., I spearheaded the development of Generative AI and FastAPI services, significantly enhancing risk report efficiency and user experience. My expertise in Python and Agile methodologies drove firmwide innovations, including a metrics library for LLM and automated legal compliance tools, showcasing my technical acumen and strategic impact.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Machine Learning Engineer
JPMorgan Chase & Co.
01.2023 - Current
- Engineered backend services for Generative AI applications to enhance Key Risk Summary reports, reducing review cycles
- Designed & Built FastAPI services integrated with DynamoDB, deployed on AWS ECS
- Contributed to model optimization & UI/UX design using React, improving user experience
- Incorporated evaluation metrics (BLANC & SUPERT) with BERT models for UAT testing
- Tech Stack: Python, FastAPI, AWS ECS, DynamoDB, Terraform, Datadog, React, BERT
- Played a pivotal role in developing firmwide RAG application blueprints
- Designed scalable FastAPI applications leveraging OpenSearch, ChromaDB, and AWS Lambda
- Tech Stack: Python, FastAPI, AWS ECS, OpenSearch, ChromaDB, Langchain
- Built a comprehensive metrics library for evaluating LLM performance (e.g., Perplexity, Hallucination)
- Developed test suites for robust model evaluation
- Tech Stack: Python, Torch, Transformers, NLTK
- Automated categorization of ~500 weekly CRMO emails with NLP-based models
- Tech Stack: Python, NLTK, Scikit-learn, RASA, Pandas
- Automated aggregation of WARN notices across 30 states with multi-format data processing
- Built a monitoring utility for legal compliance tracking
- Tech Stack: Python, Pandas, BeautifulSoup, PyPDF2, python-docx
Software Engineer
JPMorgan Chase & Co.
- Automated ServiceNow entitlement processes with FastAPI, ensuring reliability and scalability
- Tech Stack: Python, Oracle
- Led migration efforts of backend and frontend systems to AWS, boosting efficiency and scalability
- Tech Stack: Python, Oracle, React
High-Impact POCs
JPMorgan Chase & Co.
- Developed Alteryx MVP for Corporate Technology, integrating data sources for geo-spatial reports in Tableau
- Spearheaded Alteryx adoption across the organization
- Tech Stack: Python, Alteryx, Oracle, Pandas, BeautifulSoup
Education
PGP - Machine Learning & Artificial Intelligence
BITS Pilani
12.2024
B.Tech - Computer Science & Engineering
VNR VJIET
01.2018
Skills
- Python
- JavaScript
- SQL
- FastAPI
- React
- Langchain
- Torch
- BERT
- Scikit-learn
- Pandas
- RASA
- NLTK
- Transformers
- Pydantic
- AWS
- ECS
- Lambda
- OpenSearch
- Terraform
- Datadog
- Boto3
- DynamoDB
- Oracle
- Jenkins
- Spinnaker
- Bitbucket
- Docker
- CI/CD
- Alteryx
- Tableau
- PyPDF2
- Python-docx
- BeautifulSoup
- Agile
Certification
- AWS Certified Machine Learning – Specialty, Amazon Web Services, [Date]
- HashiCorp Certified: Terraform Associate, HashiCorp, [Date]
Skillsandtechnologies
Python, JavaScript, Shell Scripting, SQL, FastAPI, React, Langchain, Torch, BERT, Scikit-learn, Pandas, RASA, NLTK, Transformers, Pydantic, AWS (ECS, Lambda, OpenSearch), Terraform, Datadog, Boto3, DynamoDB, Oracle, Jenkins, Spinnaker, Bitbucket, Docker, CI/CD, Terraform, Alteryx, Tableau, PyPDF2, python-docx, BeautifulSoup, Agile
Timeline
Machine Learning Engineer
JPMorgan Chase & Co.
01.2023 - Current
Software Engineer
JPMorgan Chase & Co.
High-Impact POCs
JPMorgan Chase & Co.
PGP - Machine Learning & Artificial Intelligence
BITS Pilani
B.Tech - Computer Science & Engineering
VNR VJIET
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