VATSALA SINGH
Bengaluru
Summary
Software Engineer with over 5 years of experience in backend systems and applied AI. Proficient in Java, Spring Boot, microservices, and REST APIs, with a strong focus on delivering resilient services and production ML solutions. Achievements include enhancing reliability and reducing time to value at Walmart Global Tech and in research environments. Demonstrates strong work ethic, adaptability, and ability to master new skills independently.
Overview
5
5
years of professional experience
Work History
Senior Member of Technical Staff
Oracle
Bangalore
12.2025 - Current
- Developed healthcare software solutions adhering to FHIR standards.
- Mitigated vulnerabilities in microservices to enhance security and reliability.
- Collaborated with diverse teams to achieve product and service objectives.
- Utilized software tools to streamline processes and optimize performance.
- Collaborated closely with team members to achieve project objectives and meet deadlines.
Software Engineer
Walmart Global Tech
Bengaluru
01.2021 - 11.2025
- Built resilient, production-ready services focused on monitoring, reducing incident detection time by 30%.
- Coordinated with teams to expedite complex issue resolution, achieving a 15% reduction in MTTR.
- Led initiatives elevating code quality and release reliability, improving seller journey KPIs by 85%.
- Applied coding standards and microservices architecture to enhance scalability and uptime.
- Optimized backend paths to reduce API latency by 35%, achieving 120 ms average responses.
- Implemented request batching and cache warmups, reducing CPU time by 30% and lowering monthly compute costs by $8,000.
- Expanded unit and integration tests, increasing coverage to 90% and minimizing production bugs through early regression checks.
- Collaborated with cross-functional teams to gather requirements for new features.
Software Engineer ML
Kratikal Tech Pvt Ltd
Gurugram
05.2020 - 07.2020
- Integrated AI/ML components to improve product performance and throughput, boosting detection accuracy by 85%.
- Delivered production-ready ML solutions in a fast-paced environment, reducing inference latency by 100ms.
- Led architectural discussions on scalable AI design and deployment to support reliable releases.
- Expanded user adoption by 12% in 3 months, delivering measurable market traction for Kratikal Tech Pvt Ltd growth, thereby strengthening brand equity.
- Reduced production incidents by 60% through enhanced CI pipelines and code reviews, improving deployment stability for backend services across Kratikal Tech infrastructure.
- Technologies Used: Scikit-learn, TensorFlow, Neural Networks, Recommendation Systems, Model Evaluation
Research Intern
INRIA
Bordeaux
06.2019 - 07.2019
- Worked with a research group on deep learning for mixed-class identification in satellite imagery.
- Developed neural network models for multi-spectral data, improving classification accuracy by 50%.
- Performed statistical analysis to fine-tune models and datasets, reducing overfitting by 50%.
- Accelerated data processing to shorten time to insight by 12 hours per week, improving research cycle decisions and grant alignment.
- Technologies Used: TensorFlow, Scikit-learn, Convolutional Neural Networks, Deep Learning, Data Visualisation
- Assisted in data collection for research projects on algorithm development.
Research Intern
Niigata University
Niigata
06.2018 - 07.2018
- Conducted comparative analysis on satellite images, enhancing baseline accuracy by 48%.
- Applied image processing and deep learning techniques to diverse satellite datasets.
- Supported documentation of research methodologies for improved transparency.
- Executed experiments under supervision, developing independent operational skills.
- Utilized TensorFlow and neural networks for advanced image processing and computer vision.
Education
Master of Technology - Artificial Intelligence and Data Science
INDIAN INSTITUTE OF TECHNOLOGY
Patna, Bihar06.2025
Bachelor of Technology - Computer Science and Engineering
MODY UNIVERSITY OF SCIENCE AND TECHNOLOGY
Jaipur, Rajasthan06.2021
Skills
- Java and Python
- SQL and REST
- Spring Boot and Flask
- Microservices architecture
- Distributed and scalable systems
- GraphQL and API design
- CI/CD practices
- Keras and TensorFlow
- Scikit-learn and machine learning
- Load balancing techniques
- API gateways and caching
- Big data analytics
- Large language models
- Explainable AI concepts
- Neural networks and deep learning
- Recommendation systems and collaborative filtering
- Statistical analysis
- Machine learning
- Research
Accomplishments
- UAV Forensic Hackathon 2020, 07/20, secured second position in a national-level hackathon for extracting building footprints from UAV or drone images.
- Invited talk, IEEE International Conference on Electrical, Electronics, Communication, and Computers (ELEXCOM-23), 2023, delivered "Looking Through AI: Mitigating Opaque AI-Based Decision Making" at IIT Roorkee.
Projects
Cross Lingual Stylometric Analysis, NLP and LLM-driven cross-lingual stylometric analysis for authorship attribution using transformers and representation learning., Built web scraping and preprocessing pipelines to collect and clean multilingual text, curating 60K documents and standardising tokens across multiple languages., Evaluated tokenisation/embeddings (GloVe, BERT, Word2Vec) and fine-tuned LLMs (XLM-RoBERTa, GPT), achieving 120% improvement in attribution via contrastive learning.
S-mart Seller Dashboard, AI/ML-based dashboard performing web scraping, sentiment analysis, and month-wise aggregation to study demand-supply gaps., Implemented web scrapers and sentiment analysis for news headlines, processing multiple sources monthly and aggregating results by month., Delivered insights linking sentiment to demand-supply gaps, improving forecasting accuracy by 10% and reducing planning time. AI-Based Chatbot, NLP and LSTM-powered chatbot prototype using Django and Flask to streamline associate onboarding and query resolution; modular and scalable., Built text classification and LSTM intent detection, handling intents and reducing support queries by 25%., Designed modular architecture enabling training on large datasets with minimal effort, cutting onboarding assistance time by 50%.
Publications
- Development of AI-Enabled Solution for Efficient Feature Enrichment from Multiple Data Sources: An Application in Precision Agriculture, IEEE 2023 International Conference on Artificial Intelligence and Applications (ICAIA), 04/21/23, https://ieeexplore.ieee.org/document/10169451
- Development of Deep Learning Based Technique for Iceberg Detection with 6SD of Polarimetric SAR Data, IGARSS 2022, IEEE International Geoscience and Remote Sensing Symposium, 07/18/22, https://ieeexplore.ieee.org/abstract/document/9884585
- Efficient Application of AI for Target Tracking and Monitoring in Airborne Images, IEEE IGARSS 2021, UAV Based Remote Sensing (Qualis B1), 12/10/21, https://ieeexplore.ieee.org/document/9791868
- Development of Statistical-Based Decision Tree Algorithm for Mixed Class Classification for Sentinel-2 Data, IEEE IGARSS 2020, Global Perspectives for Local Solutions, USA (Qualis B1), 02/23/20, https://ieeexplore.ieee.org/abstract/document/9324545
- Role of Image Processing or Deep Learning on Satellite Image, IEEE IGARSS 2020, Global Perspectives for Local Solutions, USA (Qualis B1), 02/23/20, https://ieeexplore.ieee.org/abstract/document/9324545
Timeline
Senior Member of Technical Staff
Oracle
12.2025 - Current
Software Engineer
Walmart Global Tech
01.2021 - 11.2025
Software Engineer ML
Kratikal Tech Pvt Ltd
05.2020 - 07.2020
Research Intern
INRIA
06.2019 - 07.2019
Research Intern
Niigata University
06.2018 - 07.2018
Master of Technology - Artificial Intelligence and Data Science
INDIAN INSTITUTE OF TECHNOLOGY
Bachelor of Technology - Computer Science and Engineering
MODY UNIVERSITY OF SCIENCE AND TECHNOLOGY