NYX offers AI for personalised, precise and profitable content creation.• Led and managed ML applied research projects at NYX, from conceptualization to deployment, aligning with strategic business objectives, achieving a 25% improvement in project delivery timelines.• Developed pipelines for text-to-image, text-to-video, and image-to-image conversion, resulting in a 30% increase in content generation efficiency.• Fine-tuned diffusion models to improve performance and… Show more NYX offers AI for personalised, precise and profitable content creation.• Led and managed ML applied research projects at NYX, from conceptualization to deployment, aligning with strategic business objectives, achieving a 25% improvement in project delivery timelines.• Developed pipelines for text-to-image, text-to-video, and image-to-image conversion, resulting in a 30% increase in content generation efficiency.• Fine-tuned diffusion models to improve performance and adaptability.• Collaborated with interdisciplinary teams, including social media, product, and design, to ensure cohesive and user-centric ML solutions.• Skills: Python, Flask, FastAPI, NGINX, Diffuser, Dreambooth LoRA Finetuning Show less

◦ Analyzed vulnerabilities in Large Language Models across key sectors, focusing on data privacy.◦ Designed and developed SecureNLP, integrating PII redaction and differential privacy for LLM security.◦ Engineered a Self Reflection Filter within SecureNLP to identify and mitigate risks of sensitive data exposure, showcasing problem-solving and technical skills in data security.

I've delved deep into the world of Natural Language Processing, Large Language Models, and the intriguing domain of adversarial attacks on AI systems. My articles shed light on the latest developments, challenges, and innovations in these areas. Explore the intricacies of AI through my writings.

• Supervisor: Prof. (Dr.) Tanveer Ahmed• Extensively researched and applied LLMs in legal projects.• Delved deep into legal analytics to optimize legal processes.• Employed NLP (Natural Language Processing) techniques for data analysis and interpretation.

◦ Worked on a research project in the field of NLP- Fake News Classification◦ Developed a novel dataset and published a paper in the 4th Doctoral Symposium on Computational Intelligence (DoSCI-2023)-An International Conference.◦ Worked on developing an automated fake news detection method using VAE model for efficient and interpretable classification.◦ Aim to contribute towards combating fake news by leveraging NLP techniques.◦ Team: Ms Shivani Tufchi (PhD Scholar), Dr… Show more ◦ Worked on a research project in the field of NLP- Fake News Classification◦ Developed a novel dataset and published a paper in the 4th Doctoral Symposium on Computational Intelligence (DoSCI-2023)-An International Conference.◦ Worked on developing an automated fake news detection method using VAE model for efficient and interpretable classification.◦ Aim to contribute towards combating fake news by leveraging NLP techniques.◦ Team: Ms Shivani Tufchi (PhD Scholar), Dr Tanveer Ahmed (Associate Professor), Dr Ashima Yadav (Assistant Professor), Arnav Tyagi (CS Undergraduate), Parijat Rai (CS Undergraduate) Show less

Student Teaching Assistant for Computational Thinking & Programming with Python at School of Computer Science Engineering & Technology, Bennett University • Taught Python in lab sessions to first-year students.• Planned learning activities with the Course Coordinator.• Prepared Python questions for students to solve in labs. • Supported the faculty with marking students’ assignments• Promoted overall development of students while mentoring them.

• Worked on Data Formatting, Organized and cleaned messy data.• Worked on Importing Data from SharePoint and other sources, Transforming Data, Data Modelling, DAX, and creating visuals. • Researched how to use Python in Power BI. Replicated a Power BI visual from a Report using Python Visual in Power BI.