Jun 2019 – Sep 2020 · 1 yr 3 mos · Remote

• Helping "Stanford Center for Professional Development" (a client of Zignite) take some of the best grad courses at Stanford to working professionals.
• ⚫ Helped develop XCS224N (NLP with deep learning) which is an online version of the course CS224N (http://web.stanford.edu/class/cs224n/) offered for professionals. Worked as a Course facilitator for the first 2 cohorts.
• ⚫ Helped develop XCS224U (Natural language understanding) which is an online version of the course CS224U (http://web.stanford.edu/class/cs224u/) offered for professionals.
• ⚫ Helped develop XCS229i and XCS229ii (Machine learning : https://online.stanford.edu/courses/xcs229-machine-learning) which are online versions of the course CS229 (http://cs229.stanford.edu/) offered for professionals.

Mar 2019 – Nov 2024 · 5 yrs 8 mos · Bangalore · On-site

• ⚫ Have currently worked with over 11 clients on various Machine learning and Backend development
• projects
• ⚫ Using the rasa framework to achieve entity extraction and intent recognition and rule-based dialogue management to achieve a full-fledged automated conversation in aiding customers to order food via various messenger apps.

Sep 2018 – Mar 2019 · 6 mos · Hyderabad Area, India

• ⚫ Content development of online Machine learning and deep learning course (project creation and updating course materials)
• ⚫ Worked as a Course facilitator in answering student queries related to the topics in the course
• ⚫ Built student performance evaluation and assignment evaluation dashboards using node.js, material.css to analyze student performance. Used selenium and beautiful soup to scrape student submission from Google classrooms to streamline the grading process for Course Facilitators

Nov 2017 – Aug 2018 · 9 mos · Mysuru, Karnataka, India

• Worked on the extraction of relevant attributes such as adverse events, Indications, medical history given a case narrative using NER(Named entity recognition) . The solution was primarily implemented using statistical models such as linear chain CRF and deep learning algorithms such as LSTMs and GRUs.

Jun 2017 – Oct 2017 · 4 mos · Hyderabad, Telangana, India

Feb 2017 – Jun 2017 · 4 mos · India

• Worked in the area of deep learning and bio-medical image processing
• under the distance supervision of Professor Vimal Shrivastava(PhD - NIT Raipur).
• Primary work included classification and prediction of anomalies in
• bio-medical data using ConvNets.

Nov 2016 – Dec 2016 · 1 mo · Bengaluru, Karnataka, India

• Roles included working on feeder-line maintenance at SW Centre
• Transmission duties at Master Switching Room and S.W. Aerial operations
• at HPTs.
• Ensuring seamless transmission of audio over 10KW as well as 100KW HPT
• transmitters avoiding overmodulation betweeen multiple transmissions and interference between channels.