- Blog
- CV generator
- Community
- Documentation
Avikalp Gupta
Founder at Alokit Innovations Private Limited (Vibinex)
Bengaluru, India
Data scientist, Entrepreneur, Tech Generalist, dancer and a sportsperson. B. Tech. in Computer Science and Engineering from IIT Kanpur / AIR 99 in IIT JEE 2012 / ex-Microsoft Research Lab / YSI Global Fellow & Earthpreneur / SEE (Social Entrepreneurs and Enterprises) / Mentor at Alokit Innovations I have completed various courses and projects in Machine Learning, Computer Vision, Natural Language Processing, Robotics, Automated Decision processing etc in IIT Kanpur and Fresh Gravity. I was a speaker in Google Developers' Group (GDG Udaipur) on "Machine Learning" in their DevFest'17. I am passionate about working towards the Sustainable Development Goals (SDGs) 2030. I have experience of working in the areas of municipal solid waste management, healthcare delivery/accessibility and agriculture. I have a big network of friends working towards these goals from SEE (Social Entrepreneurship and Enterprises, an IIT Kanpur Alumni Association initiative), YSI (Young Sustainable Impact, Norway), TEM (Technology for Emerging Markets) group of Microsoft Research Lab and Sankalp Global Summit. All of these groups have greatly benefitted me professionally and personally. Areas of interest: 1. Information and Communication Technology for Development (ICT-D) 2. Machine Learning & Artificial Intelligence (NLP, CV, Robotics) 3. Software Engineering 4. Social and Sustainability entrepreneurship (UN's SDGs) 5. Human-Computer Interaction (HCI)
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
927.4
CodersRank Rank
Top 1%
Based on:
3 events
Associate
Developer
TypeScript
Associate
Developer
Python
Mid
Developer
JavaScript
Highest experience points: 0 points,
0 activities in the last year
JavaScript
145.6
exp.
JSON
179.8
exp.
CSS
54.8
exp.
Python
52.6
exp.
Jupyter Notebook
18
exp.
Java
26.2
exp.
TypeScript
181.3
exp.
Go
88.7
exp.
Kotlin
49.6
exp.
List your work history, including any contracts or internships
Alokit Innovations Private Limited (Vibinex)
Jul 2022 - Present (2 years)
Founder
GetMega
Apr 2019 - Jun 2022 (3 years 2 months)
Head of Data Science
I had two major responsibilities as the head of the data science team of the company:
1. Team building
2. Development and delivery of ML features in our application
TEAM BUILDING
* Hiring: Over a period of 8 months, after evaluating 100+ candidates (each with more than a year of experience as a data scientist, after completing studies from one of the IITs), I was able to hire 2 absolute gems as the first data scientists of the company.
* Culture setting: From the very beginning, my team embodied the characteristic of infinite responsibility. Every person in the team was given a problem that the company is facing and empowered to build a solution to it using all the resources that the company could access.
* Collaboration framework: Our data science team followed the principles of software engineering for collaboration and version controlling in both, the research and development phases of the projects. We used tools like DVC and JupyText to set up the framework with enables us to contribute effectively, get peer feedback and reproduce results.
DEVELOPMENT & DELIVERY
* Fraud detection modelling:
- Extracted actionable insights from user behaviour patterns in wallet transactions, and their interactions with the platform.
- End-to-end pipeline to identify real-time fraud in Poker, clique detection using graph techniques.
- Saved around ₹8-12 lakhs per month of fraudulent money rotations and laundering.
* Poker bot:
- Created a bot mode in an open-source casual Poker project
- Led the creation of an AI bot that outperforms medium-level Poker players using Markov Chain modelling.
- Productized the AI bot into a learning assistant with features like adaptive difficulty and explanations of exploitable strategies.
* Friend request recommendation system:
- Led the creation of a recommender system using XGBoost that is 16% more efficient than the existing version getting friend requests accepted.
1. Team building
2. Development and delivery of ML features in our application
TEAM BUILDING
* Hiring: Over a period of 8 months, after evaluating 100+ candidates (each with more than a year of experience as a data scientist, after completing studies from one of the IITs), I was able to hire 2 absolute gems as the first data scientists of the company.
* Culture setting: From the very beginning, my team embodied the characteristic of infinite responsibility. Every person in the team was given a problem that the company is facing and empowered to build a solution to it using all the resources that the company could access.
* Collaboration framework: Our data science team followed the principles of software engineering for collaboration and version controlling in both, the research and development phases of the projects. We used tools like DVC and JupyText to set up the framework with enables us to contribute effectively, get peer feedback and reproduce results.
DEVELOPMENT & DELIVERY
* Fraud detection modelling:
- Extracted actionable insights from user behaviour patterns in wallet transactions, and their interactions with the platform.
- End-to-end pipeline to identify real-time fraud in Poker, clique detection using graph techniques.
- Saved around ₹8-12 lakhs per month of fraudulent money rotations and laundering.
* Poker bot:
- Created a bot mode in an open-source casual Poker project
- Led the creation of an AI bot that outperforms medium-level Poker players using Markov Chain modelling.
- Productized the AI bot into a learning assistant with features like adaptive difficulty and explanations of exploitable strategies.
* Friend request recommendation system:
- Led the creation of a recommender system using XGBoost that is 16% more efficient than the existing version getting friend requests accepted.
InforMED Global
Jun 2018 - Sep 2019 (1 year 3 months)
Co-Founder
Co-founded InforMED along with Keaton Harris from South Afrika, Marcia Cunha Dos Santos from Brasil and Ishita Aggarwal from Canada for solving the communication problems faced by healthcare practitioners and their patients.
Job responsibilities:
1. App development (created a prototype of the application using Android Studio and an MVP using Ionic Framework)
2. Partnerships and Collaborations (Brought Medallion Social Innovators on board for POC and testing)
3. Executive responsibilities (Company structure, company registration, logistics etc.)
4. Marketing (Focused marketing to relevant individuals in events like Startup Master Class Pune, Social Entrepreneurship and Enterprises (SEE) Central in IIT Kanpur, Google Developers' Group (Pune) DevFest'18 etc.)
Job responsibilities:
1. App development (created a prototype of the application using Android Studio and an MVP using Ionic Framework)
2. Partnerships and Collaborations (Brought Medallion Social Innovators on board for POC and testing)
3. Executive responsibilities (Company structure, company registration, logistics etc.)
4. Marketing (Focused marketing to relevant individuals in events like Startup Master Class Pune, Social Entrepreneurship and Enterprises (SEE) Central in IIT Kanpur, Google Developers' Group (Pune) DevFest'18 etc.)
Request failed with status code 503