SANKALP VAISH

100 Ocean View Drive Boston, Massachusetts, 02125 · (857) 395-4370 · sankalp.vaish14@gmail.com

Enthusiastic artificial intelligence thinker looking to deliver cutting-edge Innovative approaches. Personal projects have included the use of Algorithms, Data Analysis, Machine Learning, and Neural Networks. Actively seeking opportunities to expand my knowledge and skills in programming, software development, and artificial intelligence research.

Experience

Research Assistant

Visual Attention Lab, UMass Boston
  • Worked on improving image quality by developing various filters for detecting blur or contrast for better face recognition.
  • Developed a website to collect data of different users and then used this data to make a classifier to perform this action on its own.
  • Extracted frames and marked humans to create data for model training to improve human detection in video analysis.
  • Implemented advanced techniques to fine-tune YOLOv8 for enhanced object and human detection in security camera footage.
May 2023 - Present

Assistant Teacher

Sky Public School, Lucknow, India
  • Teaching Python, basic concepts of database and assembly language to high school students.
  • Responsibilities- Teaching, In-charge of software and hardware solutions.
December 2021 - July 2022

Education

University of Massachusetts Boston

Master of Science
Computer Science

GPA: 4.0

September 2022 - May 2024

National Institute of Technology, India

P.G. Diploma
Machine Learning and Artificial Intelligence

GPA: 4.0

September 2021 - August 2022

National Post Graduate College , India

P.G. Diploma
Remote sensing and Geographical Information System

GPA: 3.5

October 2021 - June 2022

University of Lucknow

Bachelor of Science
Computer Science and Statistics

GPA: 3.3

July 2018 - June 2021

Skills

Programming Languages & Tools

Projects

Object Detection and Tracking Nov ’23-Dec ‘23
Developed an algorithm to track and count person in a video by calculating Euclidian distance between centroids of new and previous model using YOLOv8 and finetuning with custom dataset for better results.
UMass 3D Model Sep-Dec ‘23
A 3D visualization of University of Massachusetts Boston building models using blender and rendering them using three.js with floor maps for each floor for better navigation. It also includes 3D visualization of university from inside. Show Creds
Predicting Hand Gestures Sep-Nov ‘23
Combining multivariate data of 25 dimensions and 51 timesteps into one, then creating atomic units by using clustering for each sample then using different models to train and predict 6 various hand gestures on deck of aircraft carrier.
FaceRank Website June ’23-Aug ‘23
Developed a website MERN stack to collect data of ranking 3 best and 3 worst face images from a set of images of different users and then used this data to make a classifier to perform this action on its own to improve recognition.
Real-State Investment Website Feb ’23-May ‘23
Developed a website using Django stack to show properties available for buying on location and implement a calculator which calculated cash on cash ROI and cashflow along with other relevant details from given data.
Object Detection Dec ’22-Jan ‘23
Developing a model by combining bounding boxes estimation (Regression) and Class prediction of different targets (Classification) and detect multiple objects in an image using it.
Forecast Cab Booking, Oct-Dec ‘22
To combine historical usage patterns with publicly available data sources, such as weather data, to predict if most people will book a cab in a city. Based on this, the company could determine whether to deploy more or fewer cabs on that specific day. Analysing the dataset and used Feature Engineering to select features by finding patterns in the data. Fitting various models and manually selecting best parameter using algorithms to perform predictions.
Auto Insurance Industry, Aug ‘22
To predict whether an owner will initiate an auto insurance claim in the next year. Involved feature Engineering, dealing with unbalanced data, determining which model fits best with best hyper parameters.
Handwritten Character Recognition, Jul ‘22
The aim of this project is to automatically convert handwritten text into machine encoded text using deep learning, natural language processing, feature extraction and CTC decode layer.
Recognition of plates in moving cars, Apr ‘22
The objective is to detect Moving Cars and License plate in a video file using OpenCV and object detection using pretrained models.
Recognition of Facemasks, Mar ’22
The goal is to create a Deep Learning model to detect in real-time whether a person is wearing a face mask or not by implementing and using different pretrained models like MobileNetV2.
Property Sale, Oct ’21
Created a system for purchasing and selling property using Ethereum Solidity
Ballot Voting System, September 2021
Created a voting algorithm using Ethereum Solidity
Redesign Marvel Site, May ‘21
Created a website using Html, CSS, JavaScript and jQuery Show Creds
Browsing and Purchasing Cars, Apr ‘21
Created a website using Html, CSS, JavaScript and jQuery Show Creds
Housing Prices Competition, Sep ’20
For predicting the final price of each home and to overcome the problems of missing data, using advanced regression techniques like random forest and gradient boost
Covid Trend, Aug ‘20
Analysed data of different countries and predicted trends in their patient's rate
Translation of DNA to Protein, Aug ‘20
Separated DNA sequence to amino acid code and then to protein.
Reading Digital Books, Jul ‘20
Decoded encrypted books to find its author, language, title, unique words.
Bird Tracking, Jul ‘20
Designed a bird tracking system with data of their positions in latitude and longitude and plots them to see the trend. The project predicted the routes various birds took during different time of year.
Connect Dot Game, Jul ‘20
Built a reasonably intelligent agent with the correct algorithm. The agent assumes that its opponent plays optimally (with respect to the heuristic and using a game tree of limited depth).
Cleaning for Date, Jun ‘20
Worked with messy medical data, used regular expression to extract relevant information from the data (identify all different date variants) and properly normalized and sorted dates.
Creating a Spelling Recommender, Jun ‘20-
Created different spelling recommenders (based on shortest distance), that takes a misspelled word and recommends a correctly word using Natural Language Toolkit.

Interests

As a web developer with a passion for the outdoors, I find joy in balancing my technical expertise with a love for teaching. Embracing opportunities to share my knowledge, I contribute to the learning community. Beyond the digital realm, I immerse myself in the worlds of sci-fi and fantasy through movies and novels, sparking creativity and expanding my imaginative horizons.

Away from the screen, I am a culinary enthusiast, engaging in the art of cooking during my leisure hours. I also spend large amount of my time staying abreast of the latest technological advancements in the world. Additionally, my penchant for puzzle-solving not only sharpens my problem-solving skills but also adds a playful dimension to my approach to challenges.

Awards & Certifications

Certifications