Headline

Staff Engineer at ClearStreet

About

Learn about me here - https://wolfsbane9513.github.io/wolfsbane9513/ Senior engineer with 13 years in financial services, specialising in AI systems that serve both engineering and business audiences simultaneously. Experienced in translating complex technical requirements into production systems, managing cross-functional stakeholder relationships, and delivering integrations that hold up in the real world.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

hugging face

ollama

Haystack

Work experience

Staff Engineer at Clear Street, Oct 2025 - Present · 11 mos, Bengaluru, Karnataka, India

Senior Principal Engineer at Wissen Technology, Oct 2024 - Oct 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India

Vice President at Morgan Stanley, Jan 2024 - Oct 2024 · 10 mos, Bengaluru, Karnataka, India

Senior Manager at Morgan Stanley, Jan 2021 - Jan 2024 · 3 yrs 1 mo, India

Business Analyst at Barclays Investment Bank, Jan 2018 - Jan 2021 · 3 yrs 1 mo, Pune, Maharashtra, India, Business Analyst L4 ● Developed a chatbot using transformer-based models, such as BERT, MiniLm, and RoBERTa, and document-based training to answer user queries. ● Researched and evaluated various transformer-based models, including BERT, MiniLm, and RoBERTa, for their suitability for closed-domain question answering. Annotated a large corpus of relevant documents, including product manuals, support articles, and FAQs, to create a document-based training dataset. ● Developed an end-to-end pipeline for training and inference using the transformer-based models and the annotated document dataset. The pipeline was optimized using techniques such as model hyperparameter tuning, regularization, and dropout. ● Deployed the chatbot using AWS infrastructure, with a dockerized Elasticsearch document store for efficient document retrieval. The implementation resulted in improved customer satisfaction and reduced operational costs, as the chatbot was able to accurately answer a high volume of customer queries in real-time. Model metrics, such as accuracy and F1 score, were compared and evaluated to ensure optimal performance. ● Implemented real-time monitoring of model performance and collection of information on incorrect questions to enhance the chatbot's output. Answers for the incorrect questions were scrapped in real-time and added to the corpus for future training. This resulted in a continuous improvement in the chatbot's accuracy and effectiveness. ● Goal: Arranging and providing Knowledge sharing and training sessions on new technologies such as Data Science, Machine Learning, OpenShift, Docker ● Success metrics: 1.5X increase in participation of the audience in the sessions.

Senior Systems executive at Cognizant Technology Solutions, Jul 2012 - Dec 2017 · 5 yrs 6 mos, ● Managing Start and End of Business day reports consumed by AVPs, Directors, and External Clients. ● Creating Service Level & Operational Level documents by understanding business requirements and coordinating with IT Business analysts. These are detailed agreements between systems including data be shared, timelines and contingency plans. ● Success metrics: Using Moving Average Model ARIMA for Ticket Volume Forecasting. Provided a ticket analysis system architecture to Management to help improve SLA timelines and reporting which improved mean SLA targets across all metrics by35% ● Launched the Level 1 support and transition for the client ● Managed a team of 10 and was responsible for the SLA’s. ● Success metrics: >90% Customer Satisfaction with a stint to Singapore for Level 2 knowledge transition as a subject matter expertise.

Education

Scaler

Advanced Management Program in Business Analytics, Data Science, Indian School of Business

Public links

github: https://github.com/wolfsbane9513

youtube.com: https://youtube.com/@byaiforai