Himadri M
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If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.
If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.
Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Senior Research Engineer Preferred Title
$31.25 /hr $ 50.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 76.0%
- Average Response Time 3.7 hours
- Average Count of Messages/Day 1.0
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 45h PST, 56h UTC
- Earned Hours 6.50
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 5.0/5
- Technical Breadth 5.0/5
- Algorithmic Thinking 4.0/5
- Technical Strength 5.0/5
- Teamwork 4.0/5
- Intellectual Merit 5.0/5
- Desktop Mac
- Phone Android
- Tablet iPad
- Member Since Nov 22, 2020
- Profile Last Updated Jul 04, 2021
- Last Activity Nov. 11, 2021, 8:08 p.m. UTC
- Location India
Profile Summary
I am Himadri, an engineer by education, and have worn hats of a researcher, a manager, a developer, etc. I have explored the fields of Machine Learning, Deep Learning, Computer Vision during my time in college and my experience working in the Industry. I have also touched and am comfortable with information retrieval, ML in Security, Augmented Reality, and Web Development. Communication among different teams is also something that I have been doing recently
Skills
Total Experience: 5 years
Tensorflow (4E, 2Y)
4 experiences, across 2 yearsHadoop (1E, 2Y)
1 experience, across 2 yearsProduct Management (1E, 1Y)
1 experience, 1 yearQuality Assurance QA (1E, 1Y)
1 experience, 1 yearComputer vision (2E, 1Y)
2 experiences, 1 yearAndroid Studio (1E, 1Y)
1 experience, 1 yearXCode (1E, 1Y)
1 experience, 1 yearDeep learning (3E, 1Y)
3 experiences, 1 yearGo (1E, < 1Y)
1 experience, less than a yearGoogle Cloud (1E, < 1Y)
1 experience, less than a yearDart (1E, < 1Y)
1 experience, less than a yearPython (2E, < 1Y)
2 experiences, less than a yearMachine learning (1E, < 1Y)
1 experience, less than a yearSecurity (1E, < 1Y)
1 experience, less than a yearRobotics (1E, < 1Y)
1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 45h PST, 56h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
03 - 20
03 - 10
15 - 22
15 - 22
15 - 22
15 - 22
03 - 20
PST
20 - 13
20 - 03
08 - 15
08 - 15
08 - 15
08 - 15
20 - 13
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Senior Research Engineer
Employment
Aug 2020 - Apr 2021
BYJU'S Company
Education Industry
Project: App Profiling and Memory Leak Identification on Android and iPads
- XCode
- Android Studio
- Memory profiling of iPads using XCode and Lenovo Tablets using Android Studio
- Identified a possible kernel bug in Lenovo 605LC variant that was causing crash in 1000s of customers of BYJU'S
- Working with Lenovo Team to help them reproduce the issue and solve the memory leak of the specific device variant - Lenovo 605LC
Senior Research Engineer
Employment
Mar 2020 - Apr 2021
BYJU'S Company
Education Industry
Project: Production Pipeline Management
- Quality Assurance QA
- Product Management
- Worked with the Product Management team of Worksheets team as a Point of Contact for Vision Team for all CV and Machine Learning related workload division
- Involved in review of the books for PreK to Grade 3 kids of various subjects including English, Maths and Science for India and USA region for CV compliance
- Helped Setup the pipeline with the Project manager for the Quality Assurance QA team, the Dev team, The UX team, the CV team to get better throughput and minimise turn around time.
- Helped in development of tools (online and offline) to help people with the productivity for better efficiency in the pipeline
Research Engineer
Employment
Oct 2019 - Mar 2020
BYJU'S Company
Education Industry
Project: CV based Line tracing over sheets drawn by kids and Auto-tagging of reference images
- Computer vision
- Dart
- Go
- Google Cloud
- Computer Vision was used to detect lines drawn by kids for Tracing game and filter out if they are drawing gibberish
- Automated the tagging tool for the tracing game in the Dart Frontend which reduced the time of Tagging Team from 15 min to a single click.
- Graph theory was used to figure out the strokes in sheets which contains letters, numbers and images in dot tracing format
- Image processing was used to detect the dots on the canvas from the reference image for auto-tagging
- Made relevant changes to the back-end in Go to accommodate the requirements on the Data Store in Google Cloud.
Deep Learning Engineer
Employment
Oct 2018 - Jan 2019
Whodat Company
Technology Industry
Project: Monocular depth estimation and 3-D reconstruction
- Computer vision
- Deep learning
- Python
- Tensorflow
- Deep learning models such as DeMoN and MVDepthNet were used to explore depth using single camera in Python and Tensorflow
- Computer vision was used to stitch together the depths to generate the 3D scene
- Computer Vision was also used in figuring out the poses between recurring images using visual and dense features
Student
Passion Project
Dec 2016 - Jun 2018
IIT (BHU), Varanasi Company
Education Industry
Project: Network Security Lab Resource Management
- Tensorflow
- Hadoop
- Setup a cluster of 10 PCs to speed up the computation for Tensorflow using Hadoop
- Worked with CLIs and bash scripts to manage the system remotely. Used various port forwarding techniques to ensure proxy free internet for the devices to get proper updates
- Setup a GPU Server and helped with the load balancing of the users based on resource utilization for uniform resource division.
Student
Internship
Jun 2017 - Aug 2017
UC Berkeley Company
Technology Industry
Project: Neural Programmer Interpreter
- Deep learning
- Robotics
- Tensorflow
- Mujoco simulator was used to simulate a fetch robot and generate data as we didn't have access to the actual robotics system
- A paradigm of Deep Learning, called Neural Programmer Interpreter, was used to learn from the data generated and generalise to unseen tasks, with code being written in Tensorflow
- Designed the stacking problem so as to generalize across a varying initial state, configuration and across different number of blocks
Student
Passion Project
Dec 2016 - Jan 2017
IIT (BHU), Varanasi Company
Education Industry
Project: One-Shot Learning using Memory Augmented Neural Networks
- Deep learning
- Python
- Tensorflow
- Experimented few-shots classification using a paradigm of Deep Learning called Memory-Augmented Neural Networks on Omniglot dataset.
- Implemented novel Memory-Augmented Neural Network library using Python and Tensorflow library and published on GitHub.
Student
Course Project
Jul 2016 - Nov 2016
IIT (BHU), Varanasi Company
Education Industry
Project: Botnet Detection in Computer Network using Machine Learning
- Security
- Machine learning
- Implemented a novel scaleable flow generator based above SFrames, which could easily scale beyond RAM as opposed to Pandas DataFrames.
- Extracted useful Network flow based features from the raw Packet capture files and also based on network-flow domain knowledge
- Trained simple models: Classical Machine Learning models, Ensembles and Simple Feed-Forward Network and reported thebest model performing best on test set
- Detected the botnets in the network using the models and features computed for security of the network
Qualifications
Education
IIT(BHU), Varanasi
Jul 2013 - Jul 2018
Integrated Dual Degree (B.Tech and M.Tech) (Computer Science and Engineering)
Reviews
Client Project Reviews
LuraLLC
Completely Ignored messages for 3 weeks straight.
Interview Reviews
LD Talent
Not committed