Mar 2025 – Jan 2026 · 10 mos · Bengaluru

Mar 2024 – Mar 2025 · 1 yr · Bengaluru, Karnataka, India

Mar 2022 – Feb 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

Nov 2021 – Mar 2022 · 4 mos

Apr 2019 – Nov 2021 · 2 yrs 7 mos

• Worked on optimizing/writing Hardware Abstraction Layer for enabling/running neural network models on QCom devices using AndroidNN.

Sep 2017 – Mar 2019 · 1 yr 6 mos · Gurgaon, India

• I worked mainly in Document Structuring, Information Retrieval and Image Processing. My major work involved working in core Image Processing (OCR, Noise Removal, Deskew), structuring readable/scanned PDFs (Financial Documents) into dataframes such that they're easily extractable. Used basic NLP and classification techniques to extract useful information from financials. Also worked briefly on NER tagging for financials and a basic search engine to query over a large dataset of documents.

Jun 2017 – Sep 2017 · 3 mos

Jan 2017 – May 2017 · 4 mos

• We, at praktice, created chatbots (both voice and text) for healthcare. Being one of the early employees of the startup, I designed the full backend ML architecture.
• Machine Learning Models used :
• Conditional Random Fields (For Named Entity Recognition)
• Multi Layer Perceptron (For Text Classification)
• One Class SVMs with Mel Frequency Cepstral Coefficiants and other energy features for Voice Authentication.
• Technology Overview :
• Python
• Sklearn
• Tensorflow
• Django
• AWS (ElasticBeanstalk, S3, etc.)
• Redis

May 2016 – Jul 2016 · 2 mos · Bangalore

• My work their mostly involved research and implementation of Machine Learning Algorithms for personalization and develop a recommender system.
• Machine Learning Models used :
• Neural Networks for Regression (Hand Crafted)
• NetworkX (for Graphical Models)
• Wasserstein Metric (Earth Mover's Distance for similarity measures)
• Graph Clustering
• Louvain Modularity and Girven-Newman Algorithm
• Technology Overview :
• Python
• NetworkX
• Facebook's GraphAPI