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AI Solutions Architect and Developer at Skillful AI | Building the future with AI and innovation 🤖🚀
As a passionate tech innovator with a strong foundation in AI, backend systems, and cloud infrastructure, I thrive on building scalable solutions that solve real-world problems. My journey spans across startups and established companies, leading teams to create impactful products that blend creativity with cutting-edge technology. Currently, I’m focused on driving innovative projects, particularly in AI-driven applications, while fostering collaboration within small, agile teams. Whether it's optimizing backend workflows or launching dynamic products from scratch, I enjoy the challenge of blending strategy, technical execution, and visionary leadership. Let’s connect and explore how we can build the future together!
Vishwakarma Institute Of Technology
Bachelor of Technology - BTech, Computer Engineering
December 1, 2021 – May 1, 2025
Skillful AI
AI Solutions Architect and Developer
September 1, 2024 – Present
Remote
Eleva Labs
Backend Team Lead
June 1, 2024 – August 1, 2024
Remote
InMed.ai
AI Software Developer
September 1, 2023 – April 1, 2024
Pune District, Maharashtra, India · Hybrid
InMed.ai
AI Intern
June 1, 2023 – September 1, 2023
Pune District, Maharashtra, India · Hybrid
Eleva Labs
AI Software Developer
June 1, 2023 – June 1, 2024
Remote
Fiverr and Upwork Freelancers (Buyers and Sellers)
AI/ML Wizard & Flask Dev
March 1, 2023 – May 1, 2023
Remote
ZeftroSoft
AI R&D Computer Vision
February 1, 2023 – March 1, 2023
Pune District, Maharashtra, India · Remote
IEEE Student Branch VIT Pune
Executive Committee Member
June 1, 2022 – April 1, 2023
Mind Matrix: LLM-Powered Data Synergy
February 1, 2024 – May 1, 2024
Traditional data preprocessing systems, with their rigid rule-based methodologies, fail to adapt to the complexities of modern datasets, resulting in inadequate data understanding and augmentation. Automated Machine Learning (AutoML) mitigates these issues by automating model selection and hyperparameter tuning, minimizing the need for human expertise. We propose an advanced approach integrating Large Language Models (LLMs) into the data preprocessing pipeline to extract dataset context and enhance preprocessing. Utilizing chain-of-thought prompting and sophisticated prompt engineering, LLMs perform initial exploratory data analysis (EDA) to derive critical meta-data. This context-aware analysis identifies optimal preprocessing techniques—standardization, normalization, and data type conversion - customized for each dataset. The system then recommends the most suitable machine learning models and dynamically tunes hyperparameters for optimal performance. Our method sets new benchmarks in automated data preprocessing, significantly improving data comprehension, model selection precision, and overall workflow efficiency
Onley - ChatBot for Content Platform
November 1, 2023 – August 1, 2024
This project aims to develop an advanced and sophisticated system tailored specifically for the content platform. This chatbot will be designed to automate and streamline various processes, enhancing user experience and optimizing administrative tasks within the ecosystem. Hosted entirely on the AWS Cloud infrastructure, will leverage cutting-edge technologies to deliver a seamless and secure user interaction.
EUTraining - Online Test Evaluation
October 1, 2023 – November 1, 2023
EUTraining Test Evaluation using AI is an automated system designed to assess and evaluate online tests and exams. The project leverages artificial intelligence (AI) to streamline the evaluation process, making it more efficient, accurate, and scalable.
WriteMyGrant - AI-powered Grant Proposal Writer
September 1, 2023 – October 1, 2023
WriteMyGrant is a groundbreaking project that utilizes Artificial Intelligence (AI) to transform the process of grant proposal writing. Crafting compelling grant proposals can be a complex and time-consuming task for organizations seeking funding. It simplifies this process by employing AI-driven natural language processing and machine learning techniques. It aso empowers grant writers and organizations to streamline their proposal creation process, saving time and increasing the chances of securing essential funding.
Hairvenly: AI-Powered Chatbot for Personalized Product Recommendations
August 1, 2023 – September 1, 2023
Hairvenly is an innovative virtual assistant and chatbot designed to provide personalized product recommendations based on user-uploaded hair images. Powered by advanced AI algorithms, it analyzes the hair characteristics and texture from the uploaded images to offer tailored suggestions for hair care products, ensuring optimal hair health and style
Malware Detection Analysis using Base Learners ML and Majority Voting Algorithm
August 1, 2023 – December 1, 2023
The objective of this project is to create an advanced system for precisely classifying URLs linked to websites and APIs, labeling them as phishing, benign, defacement, or malware. The project emphasizes the use of various machine learning models like Random Forest, Decision Tree, Logistic Regression, SVM, and Naive Bayes. It also delves into inventive ensemble approaches such as Majority Voting with Soft Voting and Weighted Voting. The primary aim is to boost detection accuracy and dependability by extensively comparing individual models and ensemble methods. This contribution to cybersecurity aims to establish a strong defense against evolving digital risks.
Mangrove: AI-Powered Document Analysis
June 1, 2023 – July 1, 2023
The platform incorporates cutting-edge techniques such as computer vision and intelligent data extraction, enabling businesses to automate document processing and streamline their workflows.
Bleed CT Scan
June 1, 2023 – July 1, 2023
The "Bleed CT Scan" automates the classification of brain hemorrhages in CT scan images using deep learning. By training a 3D CNN-LSTM model on labeled data, the project aims to provide an efficient and accurate diagnostic tool for emergency patients. The system preprocesses the CT images, trains the model, and evaluates its performance. The goal is to assist doctors in diagnosing brain hemorrhages, and improving patient outcomes.
Brain Stem Segmentation
June 1, 2023 – June 1, 2023
Brain Stem Segmentation aims to develop a solution to segment the brain stem from medical images automatically. This project utilizes advanced image processing and deep learning techniques to accurately identify and extract the brain stem region using PyTorch, and PyTorch Lightning with 2D as well as 3D UNet architecture.
Smart Classroom App
March 1, 2023 – April 1, 2023
The Smart Classroom Attendance App with Course Mapping using NLP is a web application developed with Flask server, YOLOv5 for object detection, facial recognition algorithms, and NLP techniques. The primary objective of this app is to automate attendance management and course mapping processes in a classroom setting by leveraging computer vision and natural language processing capabilities.
Academia-Industry Collaboration Hub
February 1, 2023 – May 1, 2023
The proposed solution is a project catalog website called "Academia-Industry Collaboration Hub" that aims to improve communication and collaboration between students and industry professionals. The website serves as a bridge between academia and industry, allowing students to explore and showcase their projects. It offers various services to promote collaboration and project exploration among students, professors, and industry experts. The website prioritizes user experience, utilizing Flask-Caching for efficient data retrieval. This solution has the potential to bridge the gap between academia and industry and foster valuable collaborations.
AI in Energy Conservation
October 1, 2022 – April 1, 2023
Focusing on the energy loss due to the faults (cracks, dislocation, etc.) in the solar panels , we will try to detect the panels as Good, Faulty and Dislocated and then further classify the underlying faults in the Faulty and Dislocated section using both the classification model (self made architecture) and object detection models which will help in turn locating the faults in more efficient and automatic manner using the drones to capture the images of the panels.
Intelligent Traffic Monitoring System using IR-ANPR
September 1, 2022 – December 1, 2022
Following the traffic norms in daily life, this IoT + ML system will capture the image of the vehicle that is found to exceed a certain speed limit and also automates a speed breaker for the vehicle to slow down and then through the vehicle image, detect the license plate and extract the license plate number and store it in the database and give the number to proper authorities which will be further proceeded.
Smart Surveillance System with ANPR
September 1, 2022 – November 1, 2022
The proposed project aims at creating a security surveillance system that will use vehicle license plate recognition technology and an automated gate control system using ESP8266 that will help to make it more efficient and secure at the entrance of all critical locations where protection and security are inevitable. In the proposed system, the gate works automatically without any human intervention, and the system can also recognize the license plate of the vehicle at the entrance gate to decide whether or not to let the vehicle in.
House Price Prediction Web App
August 1, 2022 – August 1, 2022
A simple web app to predict the House Price of customizable features ( size, bedroom, balcony, bathroom, location ) which user requires and to give an estimated value .
Google Cloud Computing Foundations: Cloud Computing Fundamentals
June 25, 2026 – Present
AWS Technical Essentials
Amazon Web Services (AWS)
June 25, 2026 – Present
SQL for Data Analysis
June 25, 2026 – Present
Generative AI Learning Path
Google Cloud Skills Boost
June 25, 2026 – Present
DevOps with AWS
June 25, 2026 – Present
Web Programming with Python and JavaScript
Harvard University
June 25, 2026 – Present
CS50's Introduction to Artificial Intelligence with Python
Harvard University
June 25, 2026 – Present
IBM DevOps and Software Engineering Specialization
IBM
June 25, 2026 – Present
Web Scraping with Python
June 25, 2026 – Present
Software Engineering Virtual Experience
JPMorganChase
June 25, 2026 – Present
Building Systems with the ChatGPT API
DeepLearning.AI
June 25, 2026 – Present
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
June 25, 2026 – Present
Google Cloud Computing Foundations: Networking and Security
June 25, 2026 – Present
Advanced SQL: Logical Query Processing
June 25, 2026 – Present
Large Language Models with Semantic Search
DeepLearning.AI
June 25, 2026 – Present
Finetuning Large Language Models
DeepLearning.AI
June 25, 2026 – Present
Google Cloud Computing Foundations: Infrastructure in Google Cloud
June 25, 2026 – Present
Introduction to Data Analytics on Google Cloud
June 25, 2026 – Present
Python (Basic)
HackerRank
June 25, 2026 – Present
Introduction to Google Cloud Platform
Udemy
June 25, 2026 – Present
Containerized Apps on AWS
Coursera
June 25, 2026 – Present
Python Automation and Testing
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, covering various AI applications from chatbots to medical imaging and traffic monitoring, indicates a strong passion for the field and a proactive learning approach. Their experience in both startup environments (Skillful AI, Eleva Labs, InMed.ai) and academic organizations (IEEE) suggests adaptability to different work cultures. The breadth of certifications in cloud, AI, and software engineering further highlights a commitment to continuous growth and a broad technical interest, which can contribute positively to a dynamic team environment. However, the lack of specific technologies listed in projects makes it difficult to fully assess the depth of practical application in diverse tech stacks, which could impact immediate cultural integration into a specific tech-heavy team.
Soft Skills & Operational Fit
The candidate's experience as a Backend Team Lead and Executive Committee Member at IEEE suggests strong leadership, collaboration, and organizational skills. Their freelance work indicates initiative and problem-solving abilities. The project descriptions, while lacking specific technologies, demonstrate a clear understanding of problem statements and proposed AI-driven solutions, indicating good conceptual communication.