# Khyathi Narra

> MPS at University of Maryland Baltimore County

Location: Baltimore, Maryland, United States
Profile: https://flows.cv/khyathi

## Work Experience
### Machine Learning Engineer @ Bank of America
Jan 2025 – Present | United States
Fine-tuned transformer-based LLMs (BERT, GPT-4) on over 500,000+ domain-specific financial documents (e.g., earnings 
reports, SEC filings), boosting sentiment classification accuracy and entity recognition F1-score by 32% through iterative 
hyperparameter tuning and stratified cross-validation. 
 Spearheaded LSTM model deployment for multi-class sentiment prediction across social media and financial news feeds, 
improving F1-score by 35% over rule-based baselines using attention layers and advanced NLP pipelines. 
 Leveraged AWS Lambda with API Gateway to deploy scalable & secure GenAI endpoints, accelerating automated reporting 
& personalized client communications by 40%, while ensuring end-to-end compliance with FINRA and SEC mandates. 
 Optimized training and inference processes via AWS Nova, reducing compute costs by 45% through GPU instance tuning, load 
balancing, and auto scaling policies without affecting system latency or model accuracy. 
 Developed and automated CI/CD pipelines using GitHub Actions and Docker, cutting deployment time, enhancing rollback 
reliability, and ensuring 99.9% production uptime for financial AI services. 
 Designed ML-based automation for retirement plan approval, reducing processing time for low-risk applicants by 20%, while 
ensuring full compliance with fiduciary standards through interpretable risk scoring models. 
 Streamlined NLP workflows using LangChain, automating the parsing and summarization of financial documents with a 70% 
reduction in manual review time, improving consistency in client reporting and templated communications.

### Machine Learning Engineer @ Accenture
Jan 2021 – Jan 2023
Designed and implemented deep learning models using PyTorch and TensorFlow to forecast IT infrastructure failures, 
reducing critical system downtime by 35% through proactive anomaly detection and real-time alerting systems. 
 Developed automated document classification models with CNNs and attention-based mechanisms, streamlining over 10,000+ 
monthly IT service tickets and reducing manual triage effort by 60%. 
 Built and deployed real-time ML pipelines on Azure using Blob Storage and Azure ML for cybersecurity threat detection, 
increasing threat identification accuracy by 40% and enabling daily model refresh cycles. 
 Created scalable ETL pipelines that processed over 7 million rows of IT operational logs, significantly improving data quality 
and consistency across analytics and model training workflows. 
 Optimized Azure ML workflows for automated model training, validation, and hyperparameter tuning, cutting model 
development time and improving IT asset forecasting precision by 28%. 
 Developed interactive Power BI dashboards to track model accuracy, visualize IT performance KPIs, and monitor security 
anomalies, resulting in 20% faster decision-making for leadership and audit teams. 
 Engineered a multi-modal recommendation system for IT resource allocation using transformer architectures and 
collaborative filtering, improving resource utilization efficiency by 25% and reducing provisioning delays by 30%


## Education
### Master in Professional Studies in Data Modeling/Warehousing and Database Administration
University of Maryland Baltimore County

### Bachelor of Technology - BTech in Electronics and Communications Engineering
JB Institute of Engineering & Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/khyathi-narra-47a9a1210

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Source: https://flows.cv/khyathi
JSON Resume: https://flows.cv/khyathi/resume.json
Last updated: 2026-04-17