SANKALP VAISH

Experience

Education

Skills

Projects

Built a privacy-preserving Retrieval-Augmented Generation (RAG) system that indexes Gmail emails into a local vector database and enables semantic question answering using a local LLM.

Python LLaMA 3 RAG ChromaDB Ollama Google APIs

Machine Learning Model Training & Analytics Platform ’25-Jan ‘26

Built a full-stack Django web application that enables users to perform data analysis, preprocessing, and machine learning model training. Implemented interactive visualizations, configurable train–test split and scaling options, multiple ML algorithms, and dynamic result comparison using Python and Plotly.

Python Django Machine Learning scikit-learn Pandas NumPy HTML JavaScript jQuery CSS

Dementia Detection via Alexa Interactions Aug ’25-Dec ‘25

Built a contactless system to assess cognitive decline in older adults by analysing facial muscles and speech during structured Alexa interactions, using multimodal features correlated with MoCA scores.

Python OpenCV NLTK Multimodal Transformers

Diabetes Distress Sept ’25-Nov ‘25

We built a voice-based sentiment analysis model that can analyse and predict distress levels from real audio and conversation transcripts from patients dealing with chronic disease, helping improve patient–doctor communication.

Python Unsupervised Learning NLTK scikit-learn

Cybersecurity Project May ’25-Jun ‘25

Worked with a local government to integrate ADFS into their server environment, enabling secure single sign-on for multiple applications like Exchange. Implemented YubiKey-based multi-factor authentication with ADFS and configured smart card authentication for secure Windows logins. Also, integrated YubiKey-based authentication for Fortinet VPN.

ADDS ADFS YubiKey Fortinet VPN Microsoft Exchange

Elevator Analysis Oct ’24-Mar ‘25

Developed a real-time elevator detection system capable of identifying elevator regions. Leveraged computer vision and machine learning to enhance accuracy and responsiveness, enabling intelligent monitoring and automation in elevator.

Python OpenCV YOLOv8 OCR

Facial Recognition Jul ’24-Nov ‘24

Designed an image scoring system to filter low-quality and misleading facial images before model training. Trained the model using centroids of image embeddings (EfficientNet), enhancing recognition robustness and efficiency.

Python OpenCV TensorFlow EfficientNet

Dementia Detection Apr ’24-Jun ‘24

Conducted data analysis and model development to enhance early detection and monitoring of age-related functional decline. Designed a classification system to categorize changes in physical function into three classes: improved, similar, and declined. Enhanced dataset size by pairing features, eliminating the need for cross-validation, and ensuring robust training.

Python Machine Learning scikit-learn Neural Networks

Object Detection and Tracking Jan ’24-Mar ‘24

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.

Python OpenCV YOLOv8

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.

HTML Blender Three.js JavaScript jQuery CSS

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.

Python scikit-learn Time Series TensorFlow

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.

React HTML JavaScript jQuery CSS Node.js Express.js MongoDB

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.

Python Django Pandas NumPy HTML JavaScript jQuery CSS

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.

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning OpenCV

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.

Python scikit-learn Machine Learning OpenCV

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.

Python scikit-learn Machine Learning OpenCV MobileNetV2

Property Sale, Oct ’21

Created a system for purchasing and selling property using Ethereum Solidity

Solidity

Ballot Voting System, September 2021

Created a voting algorithm using Ethereum Solidity

Solidity

Redesign Marvel Site, May ‘21

Browsing and Purchasing Cars, Apr ‘21

Created a website using Html, CSS, JavaScript and jQuery

HTML JavaScript jQuery CSS

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

Python scikit-learn Machine Learning

Covid Trend, Aug ‘20

Analysed data of different countries and predicted trends in their patient's rate

Python scikit-learn Machine Learning

Translation of DNA to Protein, Aug ‘20

Separated DNA sequence to amino acid code and then to protein.

Python scikit-learn Machine Learning

Reading Digital Books, Jul ‘20

Decoded encrypted books to find its author, language, title, unique words.

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning

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).

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning

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.

Python scikit-learn Machine Learning

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

• Received Public Choice Award for AI Hackathon hosted by UMASS Boston for Diabetes Distress project, October 31, 2025
• Received grade A in Blockchain Professional Certificate by Edureka, November 17, 2021.
• 100% in HTML, CSS, JavaScript certificate with by Johns Hopkins University through Coursera, June 26, 2021.
• 91.2% in Applied Machine Learning certificate from University of Michigan through Coursera, August 29, 2020.
• 96.16% in Applied Text Mining certificate from University of Michigan through Coursera, Sept 25, 2020.
• 96.58% in Introduction to Data Science certificate from University of Michigan through Coursera, Aug 17, 2020.
• Secured 91.6% in Neural Networks and Deep Learning certificate through Coursera, August 12, 2020.
• Received 96.16% marks in What is Data Science certificate by IBM through Coursera, July 20, 2020.
• Achieved 100% marks in Introduction to AI certificate by IBM through Coursera, June 12, 2021
• Received a certificate for obtaining 100% marks in ICSE Board Examinations in Computer Science, 2016
• Won a gold medal for 14th National Cyber Olympiad, 2015
• Graduated in Brainobrain skill development programme and won many certificates and gold and silver medals in various competitions, 2008-2012

Certifications

• Completed certificate for Object-Oriented Programming in Java through LinkedIn Learning, Sept 15, 2022.
• Completed certificate for Data Structures in Java through LinkedIn Learning, Sept 12, 2022.
• Completed certificate for Deep Learning, ML, Python, and Pandas through Kaggle.com, August 2, 2020.
• Participated in online workshop on Data Science by BSE, July 17, 2020.
• Participated in online workshop on Data Analysis and Statistical Computing by BSE, May 27, 2020.
• Attended an online workshop in Python organised by Spoken Tutorial, IIT Bombay, May 1-May 5, 2020.
• Participated in a two-day workshop on HTML, CSS, AND PHP held in Lucknow University, Feb 27, 2020.