MLOps and Deep Learning Apprenticeship
Feb 2024 - Present · 4 months - Full Time
London, England, United Kingdom · On-site
Senior Quantitative and Data Management Analyst
Oct 2021 - Sep 2022 · 1 year - Full Time
Wroclaw, Poland · On-site
Senior Asset Servicing Specialist
May 2020 - Sep 2021 · 1 year 5 months - Full Time
* PROXY TEAM - These activities include revisions of communications, notifications, and facilitating postings for Corporate Action or Proxy events.
* INCOME TEAM - The accurate and timely processing of all events assigned (Incoming instruction processing, payment and claim processing, settlement, reconciliation, client inquiries, daily report creations, and timely resolution of all cash and stock breaks).
* LENDING TEAM - Ensure and manage all the lending operations(Event creation and notifications, preparation of instructions to the market, processing a wide range of corporate actions like stock split, mergers, rights, spin-offs, dividends, etc.).
* TAXATION on Sweden, Norway, and UK markets. Working closely with other team members and managers to address operational issues, training, and work on other strategic initiatives.
Research Assistant (computer vision)
Mar 2023 - May 2023 · 3 Months - Internship
London, United Kingdom · on-site
Nov 2017 - Feb 2019 · 1 year 4 months - Full Time
* Collaborated with a cross-functional team to effectively manage and optimize the promotion, supply chain, and delivery of PREVNAR13, one of the world's top-selling vaccines by revenue.
* Conducted comprehensive market research and analysis, utilizing data-driven insights to develop and implement effective sales, pricing, and profitability strategies, resulting in increased revenue and market share.
* Organized and led various scientific conferences and gatherings, bringing together industry experts and stakeholders to exchange knowledge and insights, drive innovation, and advance the field of vaccines.
Nov 2016 - Oct 2017 · 1 year - Full Time
Coimbatore, India · On-site
As a sales professional, my responsibilities included scheduling appointments with prospective clients and leveraging our product offerings to drive revenue growth. Through data-driven insights, I developed and executed sales plans to meet and exceed sales quotas for a specific geographic territory.
Machine Learning Engineer
Mar 2024 - Present · 3 months - Contract
London, England, United Kingdom
* A revolutionary flashcard app that transforms the way we learn. Designed with simplicity and efficiency in mind, Retain offers a seamless and intuitive experience that will help us master any subject in record time. (Link)
* Working on Gen. AI features for the app where it accepts inputs (images, PDFs, webpages) from the user and creates custom flashcards out of it.
* Developing an automated system for measuring mitral valve inflow in Doppler echocardiography images using computer vision
* Working with a team of Ph.D. students, where we are using deep learning techniques to develop a system that can standardize measurement protocol and reduce the time spent on these measurements.
* This project has the potential to improve clinical workflow in the assessment of heart valve function and contribute to the advancement of cardiac imaging and deep learning.
* An intensive government-funded full-time apprenticeship with a focus on the implementation of foundational DL models from scratch including the Transformer architecture, and fine-tuning LLMs.
* MLOps including but not limited to Kubernetes, Prefect, and Docker
* Built and deployed a Retrieval Augmented Generation model using an LLM to analyze news data, improving information retrieval accuracy by 45%.
* Designed and implemented production APIs for the LLM model, enabling seamless integration with downstream applications.
* I specialize in regulatory reporting to the European Securities and Markets Authority (ESMA), helping clients comply with regulations and stay up to date with the latest requirements.
* Leveraged advanced data analytics and machine learning techniques to enhance portfolio design(Collateralized Debt Obligation), focusing on optimizing risk-return profiles through predictive modeling and scenario analysis.
