Working on a v1 product of Microsoft 365 for creators: Microsoft designer

Mainly working alongside the intersection of Computer vision and NLP.• Built bank forms parser for cheques, mandates, etc. which is capable of extracting printed and handwritten information for each required field with more than 70% document level accuracy• Built a generalized image denoising system which is able to remove noises or patterns in the image with minimal data.• Achieved 80% document level accuracy on an in-house solution for unstructured legal documents which can identify name, address, case number, age, relationship for both accuser and accused• Made customized solutions on real-time face recognition like intruder detection / Attendance system using person tracking, human detection along with FR. • Worked on various preprocessing steps required for a Urdu OCR (Nashq and Nastaliq both) like horizontal & vertical separation of ligatures, dekerning, etc.

- Worked on a product called VoC (recursive text clustering) used for getting marketing insights and resolved various issues including linked StackOverflow issue. - Worked on code infrastructure development integrated with ELK stack for real-time modelling of data from Google analytics, google spreadsheets and google trends.

Worked on an open-end research problem of building a CBIR for finding trademark similarity, and hence developed an ensemble model for ranking of a large pool of trademarks based on similarity to a particular trademark. Similarity detection was achieved by processing text, shape, color, objects, etc.

Ad targeting: Youtube video classification into 12 genres based on title and description. Used a voting classifier on LSTM & SVM (as text is generally linearly separable) which takes Fasttext embeddings as input.

Involved in building a cognitive intelligent system in which my role is to make a machine learning based library for automation of the whole process from preprocessing of datasets to finally applying an algorithm to get results.

Done a project based on prediction and analysis of breast cancer.

Data collection and building REST API's