Nithish Pai

Senior Software Engineer

San Jose, California, United States10 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led machine learning initiatives at Meta.
  • Mentored multiple engineers in data science.
  • Developed cost-saving moderation models.
Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on E-commerce applications.

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Skills

Core Skills

Machine Learning

Other Skills

Python (Programming Language)CData StructuresC++AlgorithmsJavaLinuxPerlProgrammingCore JavaEclipseShell ScriptingJava Enterprise EditionPython

Experience

10 yrs 8 mos
Total Experience
2 yrs 8 mos
Average Tenure
4 yrs 9 mos
Current Experience

Meta

Senior Software Engineer (Machine Learning)

Jul 2021Present · 4 yrs 9 mos · Menlo Park, California, United States · On-site

  • I was the Technical lead for Retrieval team on Instagram shopping tab. I was responsible for planning of the work for retrieval and ranking workstreams.
  • I worked on developing the Viewer-Product and Viewer-Media Two Tower Sparse Networks (TTSN) to retrieve relevant products for a user and optimised the models for retrieval using Approximate nearest neighbour search. The models for optimised for product clicks and other deep funnel events such as add to bag and transaction.
  • I Worked on Graph based retrieval algorithms such as Personalised Page Rank and also added content based signals to the graph.
  • I worked on the unified ranking models for optimising GMV for shopping. I also worked on organic reconsideration for ads clicks.
  • Mentored 5+ ML engineers in the team. I was responsible for deciding the scope of work for them.
Machine LearningPython (Programming Language)

Flipkart

Senior Data Scientist

Aug 2018Jul 2021 · 2 yrs 11 mos · Bengaluru, Karnataka, India

  • Org Building
  • Responsible for hiring Data Scientists for Flipkart by conducting coding, machine learning design
  • interviews.
  • Grew the data science team in User Acquistion and Retention team by hiring, mentoring data scientists
  • for over 3 years. Mentored other data scientists on projects like review ranking, size and fit and
  • machine translation.
  • ANSWERING PRODUCT QUESTIONS USING USER GENERATED CONTENT:
  • Auto Answering was a critical project for Flipkart since users who usually posted questions had an
  • high intent on buying a product.
  • I developed machine learning models for automatically answering answers using UGC content like
  • reviews and Answered Product Questions. Proposed a method to get simple and hard negatives for
  • the models and thus reduced the need for manual annotations.
  • The models developed had precision of 56% beating the baseline models by over 10%.
  • ANSWERING PRODUCT QUESTIONS USING PRODUCT SPECIFICATIONS:
  • I developed models with researchers from IIT KGP to answer product questions posted by users
  • using product specifications.
  • The models developed were presented as a paper in ECNLP conference.
  • DETECTING SEARCH TAGS IN PRODUCT QUESTION ANSWERS (PQA):
  • I developed topic models (optimised for short text and used word embeddings learnt on Flipkart
  • data) to identify tags for questions posted by users on product pages.
  • The models developed were deployed for the beauty verticals.
  • The models developed were used by the product catalog team to identify missing product
  • specifications for categories.
  • IN HOUSE MODELS FOR REVIEW AND QUESTION MODERATION:
  • Developed in-house models for identifying reviews and questions that did not meet Flipkart's
  • moderation standards.
  • Saved more than 2 million dollars in costs since it reduced effort for human moderation of every
  • review and question

Microsoft

Data and Applied Scientist

Aug 2017Aug 2018 · 1 yr · Bangalore

Xerox research centre india

Research Engineer

Aug 2015Aug 2017 · 2 yrs · Bangalore

Education

Indian Institute of Science (IISc)

Master of Science (M.S.) — Computer Science

Jan 2012Jan 2015

Sri Jayachamarajendra College Of Engineering

Bachelor of Engineering (B.E.) — Computer Science

Jan 2008Jan 2012

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