Jayakrishna Sahit

Experience

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  BBC

  May 2018 - Dec 2018

  Developer and Data Analyst

  - Developed interactive content for the Visual Journalism Team in BBCTasked with Fake News research for the company. Investigated the whatsapp fake news stories which- Along side, was tasked with developing visual and interactive content as a part of it’s new initiatives as a part of visual journalism team.

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  Google Summer of Code

  May 2019 - Aug 2019

  Software Programmer

  Worked under DBpedia, in developing a tool for RDF extraction from textThe following is being done using various NLP related techniques- link to tool - http://text2rdf.linkeddata.es- link to work - https://github.com/sahitpj/TE-webapp

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  InMobi

  May 2019 - Jul 2019

  Software Developer

  Part of InMobi's Data Ingestion platform team - CDP (Customer Data Platform)Was involved in the migration of the platform’s schema service into a separate micro service entity

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  S-Cube

  Apr 2020 - Jun 2020

  Software Consultant

  Implemented a data pipeline based on CycleGANS to help convert elastic seismic data to acoustic data for easier processing by XWI [Pytorch, AWS]Worked on improvements on the backend [Python]

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  S&P Global

  Aug 2020 - Dec 2020

  Software Engineer
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  Deepen AI

  Dec 2020 - Jan 2022

  Software Engineer

  Developed and tested algorithms for a new approach in camera to vehicle calibration, Li-DAR to vehicle calibration and camera intrinsic calibration for fisheye lens based on charuco/aruco targets. Developed their respective backend systems.Developed efficient sequence painting features using KDtrees to propagate labels across sequences, incorrectly, time synced or localityBuilt calibration profiles for users to be able to automate adding sensor profiles for calibrations

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  Flipkart

  Jan 2022 - Jun 2024

  SDE - Machine Learning

  [Visual Search @Flipkart]Architected and developed Flipkart's in house Visual search ML System. This includes the ingestion pipeline, retrieval pipeline as well as data pipelines for image logging. As a part of the ML system worked on multiple image models, vector matching engine (GCP ME) as well as implemented image processing algorithms such as de-duplication, category roll up and dominant object detectionDeveloped levers for latency, retrieval accuracy, cost, QPS[Capacity Forecasting in Supply Chain]Worked on the capacity forecasting data science problem in Flipkart's supply chain. Worked on introducing an ML model to replace the current statical approach being used[Model Monitoring]Working on creating an in house model monitoring framework. Show less

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  Couchbase

  Jul 2024 - Nov 2024

  Senior AI Engineer
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  LinkedIn

  Dec 2024 - now

  Software Engineer, ML Infra