AI & Software Engineer | Full-Stack Dev · AIML Undergrad · Freelance | Tech x Product x Scale
Software developer with expertise in Java, DSA, HTML, CSS, and the MERN stack (Also SQL) with working knowledge of Machine Learning and AI. Passionate about solving complex problems and delivering high quality solutions. Open to collaborate on interesting and meaningful tech projects ! #Java #DSA #HTML #CSS #SQL #MERNStack #MachineLearning #AI #SoftwareDevelopment
Hack2skill
4 mos
Chegg India
8 mos
Arc Assetz Software Technology
3 mos · Bengaluru, Karnataka, India
✘ Built an LMS platform using React.js and Node.js, creating clean and responsive UI while integrating REST APIs for smooth user experience. ✘ Improved performance with reusable code and contributed to core features.
VOIS-AICTE Tech Internship Program, CDF
June 2024 – July 2024 · Remote
Developed and implemented a Power BI-based dashboard using DAX, Power Query, and data modeling to visualize structured datasets with dynamic charts and interactive filters for business analytics. Technologies used: Power BI, VOIS LMS, Power Query, MS Excel.
IBM SkillsBuild
June 2024 – July 2024 · Remote
Developed expertise in neural networks, NLP, and GenAI; built a kidney stone detector and fine-tuned a chatbot integrated into a restaurant web portal, achieving 20% faster menu search. Technologies used: IBM Watson Studio, CSV, EJS, CSS, Bootstrap, Node.js, Express.js, MongoDB Atlas.
Bachelor of Technology, Artificial Intelligence & Machine Learning (AI & ML)
Nov 2022 - Jun 2026
Bachelor of Technology, Artificial Intelligence and Machine Learning
Nov 2022 – June 2026 (Expected)
Currently in 4th year with a CGPA of 8.03. Listed among the top 20% of students in the batch.
An AI assistant combining voice, face recognition, and system control using a React frontend and Python-based intelligent backend. Tech stack: React.js, Python, SpeechRecognition, OpenCV, Node.js, Flask, Face Recognition, Web API.
Built a computer vision-based tool to extract, detect, and display dominant colors from webcam input and uploaded images in real time. Tech stack: Python, OpenCV, NumPy.
Built a machine learning project to predict bank deposit subscriptions using real marketing data through logistic regression and detailed statistical analysis methods. Tech stack: Python 3.8+, Pandas, NumPy, Seaborn, Scikit-Learn, Matplotlib, StatsModels.
Acharya
Oct 2024 · 1 mo
Nestlé
Jan 2025 · 1 mo
Govt. School Outreach – Awareness
KCRE Nature Walk – Wildlife Event
Oct 2024