October 2024
I presented a 3 hour workshop on 'Generative AI & Large Language Models' to 400+ learners in partnership with GrowthSchool, an EdTech startup based in Bangalore. 
August 2024
I will share insights on GenAI model pricing and selection along with Ajit, CEO of Monetizely in a Maven webinar - maven.com/p/3ee461/monetizing-ai-economics-pricing-of-gen-ai-development
April 2024
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Masters' Union Business School students working on an AI Case Study
I taught a 20 hour in-person live course on 'Deep Learning' to a cohort of 25+ B-school students at Masters' Union.
​In this course, I covered various aspects of AI including:
  • Training Neural Networks
  • Staying on top of AI News & Resources
  • Neural Networks for Images
  • Neural Networks for Text & Sequences
  • AI Consulting Case Study
  • AI Product Development 
  • AI Startup Conceptualisation 
  • ​Leveraging AI for business use cases
  • Careers in AI
January 2024
​I gave a webinar on 'Large Language Models for India' as part of Analytics Vidhya's Data Hour series - https://community.analyticsvidhya.com/c/datahour/large-language-models-for-india.

Dive into the captivating realm of Large Language Models (LLM) tailored for India in our upcoming DataHour! Brace yourself for a deep dive into the enchanting world of OpenAI's GPT-4, Anthropic's Claude, and more. These LLMs are reshaping the game across generative AI, from chat dynamics to revolutionizing customer service and enterprise knowledge management.

We're talking about taking on the linguistic complexity head-on with models from Indian startups like Sarvam.ai, Ola's Krutrim, CoRover.ai, KissanAI, and tech giants like Tech Mahindra.

Who Should Attend?
  • 🚀 Students & Freshers with a Data-tech dream.
  • 💼 Professionals eyeing a transition to the Data-tech domain.
  • 🧠 Data science enthusiasts eager to supercharge their career growth.
December 2023
I gave a webinar on 'How to become an AI Engineer' to the learners enrolled in AI programs of the International Association of Business Analytics Certification - https://iabac.org/webinars/how-to-become-an-ai-engineer
July 2023
I gave a webinar on 'How to thrive in the AI industry' to undergraduate students of Indira Gandhi Technical University for Women https://www.igdtuw.ac.in/
July 2022
Speaker for NeuroMatch's Industry Careers panel focused on 'Computational Neuroscience & DeepLearning' and shared my experience and advice with 300+ students on transitioning from Academia to Tech, and building a successful career in industry.
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Gave an interview to IndiaAI, a Government of India and NASSCOM initiative on AI education, upskilling, careers and startups
March 2022

​I gave a Masterclass on 'Breaking into Data Science' to the students of Masters' Union Business School

I gave a Seminar on 'Careers in Data Science' to the students of IIT, Palakkad

February 2022
My 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐚𝐫𝐞𝐞𝐫 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 recently concluded after a highly intensive and engaging 4 weeks, with an outstanding 𝐂𝐨𝐮𝐫𝐬𝐞 𝐍𝐏𝐒 of 80 (averaged week-on-week)!

✌️ My cohort has already recorded several wins:
👉 7 job offers
👉 25+ job interviews scheduled
👉 25+ inbound mails from recruiters on LinkedIn
👉 +++ interviews and offers in the pipeline
😎 Most importantly, learners have gained a lot more confidence and clarity on cracking #datascience #machinelearning jobs.
January 2022
Launched a 4-week cohort-based course to.enable data science candidates to crack jobs at FAANG and top tech startups

August 2021

My recent work on Covid-19 Fake News Detection [1, 2] is featured in IIT Madras' Science and Technology Magazine, Shaastra.
May 2021
April 2021
  • Gave a talk on 'AI and Careers' for student users of EdTech startup, Metvy Learn. (Slides are archived in the 'Talks' section)
March 2021
October 2020
  • Started building an EdTech startup focused on AI to train the next generation of AI/ML leaders at scale. 
September 2020
  • Led an independent team of undergraduate interns to publish on Covid-19 Fake News Detection, accepted at NLP For Internet Freedom workshop at COLING2020.
  • Led AI team at Swiggy to publish second AI paper on NER for Food Quality Descriptors in Chat Conversations accepted to ​CODS-COMAD 2021 research track.
July 2020
  • Led Swiggy's first AI publication based on a Neuroscience inspired AI model for code-switched Speech in INTERSPEECH2020. 
May 2020
April 2020
April 2019
July 2018
February 2018
November 2017
October 2017
March 2017
January 2017
  • Awarded the 'Extraordinary Junior Research Fellowship' in Physiology by Queen's College, Oxford.
  • ​Gave Keynote lecture at the Experimental Psychology Society Conference on 'Modularity in Time Perception and Timed Behavior' organized by University of Liverpool and Liverpool John Moores University.
November 2016
  • Attended the eLife Oxford Peer Review Workshop held at Oxford University.
  • Presented a poster at the Advances and Perspectives in Auditory Neurophysiology and Society for Neuroscience meeting.
  • Received PLOS Early Career Researcher Travel Award to attend Society for Neuroscience annual meeting.
October 2016
  • Participated in a workshop on 'Publishing better science through better data' organized by Scientific Data & Wellcome Trust.
September 2016
  • Interview with NTS Radio, London for a documentary on music and the brain.  
  • Participated in Royal Society Early Career Research Conference on culture of research and future of science.
  • Gave a talk on beta oscillations & timing at the Congress of the International Organization of Psychophysiology, Havana.
  • Presented a poster on Neuroscience of music at the Making Time in Music conference at Music Faculty, Oxford University.
August 2016
July 2016
June 2016
  • Established the Timing Research Forum, an open society that promotes multidisciplinary research on timing.
  • New review accepted in Journal of Neuroscience on periodicity vs. prediction in sensory perception.
May 2016
  • Attended the Next-gen electrophysiology symposium at UCL Wellcome Centre for Neural Circuits and Behaviour.
  • Started new collaboration with Faculty.ai to employ open source data science tools for neuroscience.
  • ​​Attended a workshop on Teaching and Learning Skills organized by the Medical Science Division at University of Oxford.
  • New paper accepted in Cerebral Cortex on neural correlates of auditory segregation based on temporal coherence.
  • New paper accepted in Frontiers in Neuroscience on substrates of working memory for time intervals in sequences.
April 2016
February 2016
December 2015
November 2015
  • Started new position as a Sir Henry Wellcome Postdoctoral Fellow at the University of Oxford.
  • Participated in a two day Royal Society Education Outreach Training Course.
July 2015
June 2015
December 2014
  • New paper on structure-function relationship in auditory cortex using myelin mapping and MEG accepted in NeuroImage.
  • Awarded the Sir Henry Wellcome Postdoctoral Fellowship from the Wellcome Trust, UK. (Profile)
November 2014
  • New paper on working memory for time intervals accepted in Frontiers in Auditory Cognitive Neuroscience.
October 2014
  • Participated in the ERC Berkeley Workshop organized by Patrick Cavanagh at the Universite Paris Descartes (Oct. 7-15).
September 2014
  • Presented a poster titled, 'Context-dependent representation of auditory time in working memory' at the Auditory Cortex meeting held in Magdeburg, Germany.
August 2014
  • September 2014 onward, I will do a postdoc with Shihab Shamma and Daniel Pressnitzer at Ecole Normale Superieure.
  • Commentary on Bartolo et al. (2014) Journal of Neuroscience published in Frontiers in Systems Neuroscience.
  • We have now reached more than 14000 plays for our figure-ground segregation game on The Great Brain Experiment app.
  • New paper out in Royal Society Proceedings on decoding tone cloud sequences in planum temporale and hippocampus.