Fresher · Available immediately · Remote & On-site
Passionate AI/ML engineer driven by a strong curiosity to build intelligent systems that create meaningful real-world impact. I am deeply interested in the intersection of data, algorithms, and human-centered design, with a focused inclination toward Natural Language Processing and the evolving landscape of Deep Learning research. My work revolves around transforming complex data into actionable insights and developing models that can understand, learn, and adapt to real-world scenarios.
With a solid academic foundation through my B.Tech in Computer Science (AI & ML), I continuously explore advanced techniques in machine learning, neural networks, and AI-driven problem solving. I am particularly fascinated by how intelligent systems can enhance decision-making, automate processes, and improve user experiences across domains.
Collaborated with cross-functional teams to collect, clean, and analyze data using Python, SQL, and Excel, performing exploratory data analysis (EDA) to uncover trends and actionable insights.
Developed interactive dashboards and automated reporting workflows using Power BI, improving data-driven decision-making and enhancing reporting efficiency.
May. 01, 2026 - Present
Data Analytics Intern
INFOTACT SOLUTION
Collaborated with cross-functional teams to collect, clean, and analyze data using Python, SQL, and Excel, performing exploratory data analysis (EDA) to uncover trends and actionable insights.
Developed interactive dashboards and automated reporting workflows using Power BI, improving data-driven decision-making and enhancing reporting efficiency.
April. 09, 2026 - Present
AI/ML Intern
TranQuiex
Worked on artificial intelligence and machine learning concepts, including data preprocessing, model training, and evaluation.
Gained hands-on experience through real-world projects, collaborating in a hybrid learning environment with industry-oriented tools and workflows.
Sep. 03, 2025 - Nov 15, 2025
AI/ML Intern
Samsung Innocation Campus
Developed and optimized machine learning models using Python, including data preprocessing, feature engineering, and model evaluation.
Worked with real-world datasets to improve prediction accuracy and build efficient AI-driven solutions.
This platform addresses the challenge of presenting technical skills, projects, and achievements in a compelling and interactive way. Traditional portfolios are often static, text-heavy, and fail to effectively communicate real capabilities or create engagement. It solves this by providing a visually immersive, dynamic, and structured interface that showcases work in a more intuitive and impactful manner.
NeuroHome AI – Ultra Realistic Smart Home Automation System
NeuroHome AI is an advanced futuristic smart home automation platform designed to simulate a real-world AI-powered intelligent home ecosystem. The project combines modern web technologies, real-time device communication, automation intelligence, and interactive futuristic UI/UX to create a fully connected smart living environment.
HTML5CSS3JavaScript (Vanilla JS)Socket.IO ClientWeb Speech APINode.jsExpress.jsSocket.IOREST API ArchitectureCORSdotenv
TRACK & SAVE – AI POWERED FINANCE MANAGEMENT PLATFORM
Track & Save is a modern AI-powered personal finance management web application designed to help users manage their income, expenses, savings, and financial goals efficiently through a smart and interactive dashboard.
Comprehensive Python interview and practice question bank covering fundamentals, data structures, algorithms, and Python-specific paradigms with detailed explanations.
Advanced Python topics including decorators, generators, async programming, ML libraries, and real-world project questions with expert-level answers and code examples.
Coronary artery disease (CAD) remains a critical global health issue requiring improved diagnostic methods to reduce morbidity and mortality. Traditional approaches, such as stress tests and coronary angiography, face challenges related to invasiveness and accessibility. Artificial intelligence (AI), leveraging machine learning (ML) and deep learning (DL), offers promising alternatives by analyzing complex datasets, including imaging studies and electronic health records. This study highlights AI applications in CAD diagnosis, focusing on imaging techniques like echocardiography and coronary computed tomography angiography (CCTA). Despite progress, challenges remain, including model interpretability, data standardization, ethical concerns, and clinical integration, necessitating collaborative efforts for transformative advancements.
Precision farming is made possible by the combination of drone technology and the Internet of Things (IoT), revolutionizing agricultural management. Multispectral cameras and drones with IoT sensors detect crop stress and insect activity and also provide real-time surveillance. IoT-driven analytics combined with aerial surveys allow targeted interventions, reducing environmental impacts and reliance on broad-spectrum insecticides. Predictive analytics powered by IoT and AI foresees pest outbreaks, optimizing resource use and fostering sustainable practices. This study explores their synergy through case studies, enhancing crop health and productivity.
Indian Knowledge System Integration in Digital Era
The Asian Thinker
In order to integrate the Indian Knowledge System (IKS) into digital education frameworks, this article offers a thorough analysis of government initiatives and educational reforms, Traditional methods like the Gurukul model have historically been used to convey the IKS, which includes old Indian philosophies, sciences, and ethical precepts, But in response to the needs of contemporary schooling, the Indian government has been working harder to mainstream and digitize IKS while preserving its cultural core and making it available to a technologically savvy and global audience.In recent decades, the significance of IKS in India's educational environment has been increasingly acknowledged by government programs, such as the National Education programs of 1986, 1992, and 2020, Specifically, the National Education Policy 2020 highlights the incorporation of traditional knowledge using contemporary, digital methods, IKS-based resources are now widely available thanks to major digital projects like Digital India, sWAYAM, and the Bharatavani Project, This has made it possible for multilingual resources, e-libraries, and digital courses to be used, In addition to protecting India's legacy, these initiatives seek to provide a morally sound and culturally diverse educational environment, This research investigates how these activities affect the reach and reception of IKS in the digital age using a comparative literature assessment, According to the review, despite the notable advancements, issues including linguistic variety, the constraints of digital infrastructure, and cultural adaptability still exist.
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