“During my palm days, Sachin worked in my team as a Lead Engineer and an Architect. He has a killer ability to look right through complex technical issues and develop very elegant and scalable solutions. His technical skills compliment his analytical thinking and innovative approach, giving him a very rare and desirable edge. Sachin is very diligent in his work and always delivered on time. I am very impressed with his contributions and would hire him again in a heart beat.”
Govardana (Sachin) Sachithanandam R
San Francisco Bay Area
377 followers
368 connections
San Francisco Bay Area
377 followers
368 connections
About
Primary research interest: Reinforcement learning & Information Theory.
I believe, RL…
Experience
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Education
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Stanford University
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ee378c - Information theoretic lower bounds in data science
stats214 - Machine learning theory
cs330 -Deep Multi-Task and Meta Learning
ee376a -Information Theory
cs234 -Reinforcement Learning
cs228 - Probabilistic Graphical Model
ee364a - Convex Optimization
stats315b - Modern Applied Statistics
cs224w - Machine Learning with Graphs
cs224d - Deep Learning for NLP
cs229 - Machine Learning
cs246 - Mining massive dataset
cs276 - Information Retrieval -
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Licenses & Certifications
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Oracle Certified Master, Java EE 5 Enterprise Architect
Oracle
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Sun Certified Java Programmer, for Java 6
Oracle
Patents
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Associating job responsibilities with job title
Issued US US20170316361 A1
A machine learning approach to predict job responsibilities of a contact. A new form of semi supervised model was created that extends Expectation Maximization to semi-supervised form.
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Identifying Entities in Semi-Structured Content
Issued US US Patent App. 14/695,996
Layered ensemble of Machine Learning models for Named Entity Recognition in Semi Structured content block such as email signature, contact profile etc., some of the models includes
Information density based model for content block boundary detection, Latent Dynamic CRF for intrinsic entity detection, Shallow Parsing CRF for boundary detection for each of the extrinsic compound entity , A Maximum A Priori based model for compound entity labeling etc.,.
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Transforming columns from source file to target file
Issued US US Patent App. 14/840,547
A Named Entity Recognizer -- using pointwise and pairwise DCRF -- for structured content like spreadsheets
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User Trust Scores based on registration features
Issued US US Patent 20,160,140,355
An automated fraud detection and prevention system, that uses a reinforced learning model to assign a trust score for users of a site, with on the user's registration and activity features. Users are auto-locked based the trust score, optimized for very low false positive rate
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Systems and methods for safe policy improvement for task oriented dialogues
Filed US20210383212A1
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System and method for graph-based resource allocation using neural networks
Filed US20210256370A1
Courses
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Convex Optimization
EE364a
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Deep Learning for NLP
CS224d
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Deep Multi-Task and Meta Learning
CS330
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Information Retrieval
CS246
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Information Theory
EE376a
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Information theoretic lower bounds in data science
EE378c
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Machine Learning
CS229
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Mining massive dataset
CS276
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Modern Applied Statistics
STATS315b
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Probabilistic Graphical Model
CS228
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Reinforcement Learning
CS234
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Social and Information Network Analysis
CS224w
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