Vikram C
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The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Applied Scientist Preferred Title
$43.75 /hr $ 120.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 45h PST, 69h UTC
- Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 5.0/5
- Logical Thinking 5.0/5
- Technical Strength 5.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 5.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 5.0/5
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Mac
- Phone Android
- Member Since Jun 06, 2023
- Profile Last Updated May 30, 2023
- Last Activity July 11, 2023, 9:27 a.m. UTC
- Location India
Profile Summary
I am an Applied Scientist at Pepper Content Global Pvt Ltd. Previously, I worked as a Research Intern at Amazon, and at the National University of Singapore (NUS). Have published papers in top venues like ICML and AAAI. Have a strong track record of developing and deploying ML solutions in a broad range of domains, including forecasting, recommender systems, translation models, generative language models, computer vision, and privacy in machine learning.
Skills
Total Experience: 5+ years
PyTorch (3E, 4Y)
3 experiences, across 4 yearsScipy (2E, 4Y)
2 experiences, across 4 yearsRecommender System (3Y)
3 years of experienceAWS SageMaker (3Y)
3 years of experienceComputer vision (2Y)
2 years of experienceData Privacy (2Y)
2 years of experienceLSTM
Transformer
Forecasting
C++
Machine Learning (Theory) (1C)
1 courseData Science (1C)
1 courseBayesian Statistics (1C)
1 courseApplied Statistics (1C)
1 courseProbability Or Statistics (1C)
1 courseData mining (1C)
1 courseMachine learning (1C)
1 courseAnomaly Detection (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 45h PST, 69h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
11 - 18
09 - 20
09 - 20
09 - 20
09 - 20
09 - 20
11 - 18
PST
04 - 11
02 - 13
02 - 13
02 - 13
02 - 13
02 - 13
04 - 11
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
- Code Quality
- Code Readability
Experience
Applied Scientist
Employment
Jan 2022 - Present
Pepper Content Global Pvt Ltd Company
Research Industry
Project: Build AI & Marketplace intelligence
- Developed AI and marketplace intelligence across diverse domains, managing end-to-end model flow.
- Engineered Recommender System for automated content-creator pairing using unsupervised methods.
- Created Audio and Vision tools for content creation, leveraging LLMs extensively.
- Leveraged open-source APIs and large-scale models (ChatGPT, GPT-3, DALL-E, Stable Diffusion, etc.).
- Orchestrated model development to deployment, skilled in AWS Sagemaker. Proficient in PyTorch, NumPy, SciPy, SKlearn, etc.
Research Intern
Internship
Jan 2022 - Apr 2023
National University of Singapore Company
Research Industry
Project: Building novel solutions for Machine Unlearning
- Enhanced machine learning models with privacy-focused techniques: Fast Machine Unlearning, Zero-Shot Machine Unlearning, Selective Knowledge Transfer, etc.
- Spearheaded innovative frameworks for Machine Unlearning across diverse domains: Computer Vision, NLP, Forecasting, etc.
- Pioneered data privacy metrics and solutions, including Membership Inference Attack, Backdoor Attack, Model Inversion Attack, etc.
- Published papers in top-tier conferences (ICML, AAAI) and renowned journals (TNNLS, TIFS, TAI).
- Proficiently utilized frameworks and tools such as PyTorch, NumPy, Pandas, SciPy, etc.
Research Engineer Intern
Internship
May 2021 - Nov 2021
Amazon Company
Research Industry
Project: Improve Sales Forecasting Model
- Improved coverage and performance of forecasting model on highly sparse and skewed data.
- Introduced novel architectures and flows for enhanced robustness and performance on sparse and skewed data.
- Conducted experiments and modeling using LSTMs, Transformers, Temporal CNNs, Temporal Fusion Transformer (TFT), and similar models.
- Leveraged frameworks and tools: PyTorch, NumPy, Pandas, SciPy, etc.
Student Developer
Internship
May 2020 - Aug 2020
GOOGLE SUMMER OF CODE 2021, Boost C++ Libraries Company
Technology Industry
Project: Bring BOOST.REAL to Review Ready State
- Developed Boost. Real, is an arbitrary precision arithmetic library for all computable real numbers.
- Optimized library to minimize computation by using precise ranges for calculations.
- Enhanced library for peer review and integration into Boost C++ Libraries.
- Implemented specialized data types for integers and rational numbers, resolved bugs, and achieved a stable state for review.
Qualifications
Education
BITS Pilani
Aug 2018 - May 2022
BE (Civil)
Courses