Piyush Gandhi
ML EngineerSDE III at Leena AI
Leena AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE III at Leena AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
3 years of experience in data and software industry. I'm good at Algorithms, handling data and building models. Always open to new technologies and languages.
Guru Teg Bahadur Institute Of Technology
Bachelor of Technology (B.Tech.), Information Technology
January 1, 2014 – January 1, 2018
Leena AI
Senior Software Engineer
March 1, 2022 – Present
Qubitrics
Co-Founder
January 1, 2020 – December 1, 2022
RAENA
Data Scientist
February 1, 2019 – November 1, 2019
Bengaluru Area, India
HackerEarth
Data Analyst Intern
October 1, 2018 – December 1, 2018
Bengaluru, Karnataka, India
Investment Lens
Data Scientist and Backend Developer
October 1, 2017 – October 1, 2018
Toronto, Ontario, Canada
RedCarpetUp.com
Data Science intern
July 1, 2017 – September 1, 2017
Gurgaon, India
Coding Wizards
Python Trainer
February 1, 2017 – July 1, 2017
Patel Nagar, New Delhi
Medicians
Web Developer Intern
May 1, 2016 – July 1, 2016
Greater Delhi Area
Face2Face - Swap your Expressions
January 1, 2018 – April 1, 2018
1. Worked with a team of 3 people to implement pix2pix model on faces to transfer expressions in real time on faces. 2. Used Tensorflow, Python, and Keras to implement 2 Generative Adversarial networks - A discriminator and a generator and OpenCV to track faces in real time. 3. Trained the whole network on AWS for 140 hours with 50 different parameter combinations 4. Selected as the best project in class and awarded the highest marks in the subject. Technologies and Skills used: Python, Keras, tensorflow, OpenCV, AWS, Apple Pages, Apple Keynote, Conditional Generative Adversarial Neural Networks, Convolutional Neural Networks.
Detect Nuclei from Images (Data Science Bowl 2018)
January 1, 2018 – March 1, 2018
1. Used Masked Region Based Convolution Neural Networks to Segment Nuclei from Images using tensorflow, keras and python. 2. Used AWS gpus to train the net for about 36 hours and 30 different hyperparameter optimizations. 3. Ranked in top 13% of the competition (452/3634). Technologies and Skills used: Python, Keras, Tensorflow, AWS, Kaggle, Convolutional Neurral Networks
Character Recognition from Image
June 1, 2017 – Present
Used the notmnist dataset to recognise characters A-J and a-j. Used a hidden layer of RELU neural net and gradient descent for optimizations. Used python and tensorflow for computations. Achieved Accuracy :- 90.9%.
Enron POI classifier
May 1, 2017 – Present
Visualised and worked on the famous Enron dataset. Filtered the data (dimensionality reduction, addition of new features), predicted the Person Of Interests. Achieved Accuracy of 93.3% after Decision Tree tuning.
Zizou - Voice Based Speech Assistant
April 1, 2017 – June 1, 2017
1. Built an assistant bot that does tasks like fetching current football scores, searching for terms on Wikipedia and summarising them. 2. Used Google’s Speech to Text python package for making the bot fully speech operated. 3. Feature List: Fetch live football and cricket scores(from public API’s) , basic conversation starters, speaks summary of Wikipedia articles. Technologies and Skills Used: Python, Google Text to Speech, API Handling
Y Combinator News Bot
March 1, 2017 – Present
1. Used Python and Selenium to scrape articles from Y combinator article site. 2. Used different keyword searching as well as no of upvotes ability to scrape a fraction of articles. 3. Multiple parameters to decide which articles to scrape and store. Technologies and Skills used: Python, Selenium, Chrome Browser, Automation, Scraping
Songify
April 1, 2016 – June 1, 2016
An online place to store all your songs and access them on the go
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Python Algorithms
TestDome
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and startup experience, indicates a strong passion for technology and continuous learning. Their involvement in a startup as a Co-Founder suggests an entrepreneurial spirit, adaptability, and a willingness to take initiative. The breadth of skills across ML, full-stack development, and cloud platforms shows versatility. However, the current role as Senior Software Engineer at Leena AI, while demonstrating strong engineering skills, is less directly aligned with pure ML engineering compared to previous roles, which might require re-focusing on core ML responsibilities.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder at Qubitrics demonstrates leadership, team management, customer discovery, and business development skills. Their role as a Python Trainer also indicates strong communication and mentorship abilities. These experiences suggest a proactive, problem-solving mindset and an ability to operate effectively in dynamic environments.