Raghu Nandan Chilukuri

Lead ML Engineer

Bengaluru, Karnataka, India11 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning solutions.
Developed high-demand OCR and ASR systems.
Strong background in Data Science and user experience enhancement.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SAAS solutions for OCR and ASR applications.

Contact

raghuismyname@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningNatural Language Processing (nlp)ScriptingAutomationData ScienceFirmware TestingSystem Verification

Other Skills

AlgorithmsAmazon Web Services (AWS)Automatic Speech Recognition (ASR)CC++Computer VisionData AnalysisData MiningDebuggingDockerGoogle Cloud Platform (GCP)GrafanaJuliaLaTeXMatlab

About

Currently working on deep learning solutions for end to end Optical Character Recognition (OCR) systems and Automatic Speech Recognition (ASR) in multiple languages for engaging millions of customers. I am an engineer interested in applied mathematics and programming. I like to solve problems, using mathematics if possible, and hence Machine Learning/Deep learning fascinate me. Also, I like getting my hands dirty exploring probabilistic programming and functional programming.

Experience

Airtel x labs

2 roles

Lead Engineer - Machine Learning

Dec 2021 – Present · 4 yrs 3 mos

Machine LearningDeep Learning

Senior Software Engineer (Machine Learning)

Oct 2019 – Mar 2022 · 2 yrs 5 mos

Working in problems on an "India scale" using machine learning and deep learning.
Worked on an end-to-end Optical Character Recognition (OCR) engine which serves about 300k requests a day.
Currently working on Automatic speech recognition (ASR) for speech to text for multiple languages to engage mobile and internet users.

Machine LearningDeep LearningOptical Character Recognition (OCR)Automatic Speech Recognition (ASR)

Sapient

Associate Technology

Dec 2017 – Oct 2019 · 1 yr 10 mos · Bengaluru Area, India

Intel corporation

CAD Engineer

Mar 2016 – Sep 2017 · 1 yr 6 mos · Bengaluru Area, India

Support for various Front-End (in-house and vendor) tools for static checking, code generation, and RTL simulation. Involved in scripting/automation flows for various Intel flows.
Some of our team's work has been presented in 54th Design Automation Conference (DAC), in Austin, TX, USA (http://www2.dac.com/events/eventdetails.aspx?id=230-57-)

ScriptingAutomationStatic CheckingRTL Simulation

Just dial limited

Data Scientist

Sep 2015 – Mar 2016 · 6 mos · Bengaluru Area, India

Data Science, aimed at improving the experience for users of Justdial's search and e-commerce platforms. I worked closely with the team at Julia language (http://julialang.org) and Julia Computing (http://juliacomputing.com/). Some of our work with Julia Computing had been presented in JuliaCon 2015, Bangalore, India.

Data ScienceJulia

Csr

Intern

Feb 2011 – Aug 2011 · 6 mos · Bengaluru Area, India

Firmware test - Bluetooth Lower Stack:
Tested the Bluetooth lower stack firmware for Bluetooth chips. Debugged, edited and wrote test-scripts, and analyzed the debugging logs.
Performed device testing and characterized physical parameters such as power, gain and stress-test of the chips, using equipment like oscilloscopes, spectrum analyzers and Bluetooth analyzers.
Designed and implemented an audio test system to test different profiles for audio streaming and BLE (Bluetooth low energy) file transfer between multiple devices.

Firmware TestingDebuggingTest-Scripting

Infinera

Intern

Jan 2010 – Jun 2010 · 5 mos

System Verification:
Performed board level simulation and system level testing of a system of line cards. Implemented a basic version of a Verilog parser for netlist parsing and verification.

System VerificationVerilog