Kshitij Chaturvedi
To leverage my expertise in Artificial Intelligence and Machine Learning, along with my strong analytical and detail-oriented approach, to contribute significantly to research-oriented roles. My immediate goal is to pursue advanced research, particularly in machine learning applications like cloudburst prediction systems..
Location
Delhi, India
Kshitij Chaturvedi
Github
Kshitij Chaturvedi
Portflio
Kshitij Chaturvedi
About Me
I am Kshitij Chaturvedi, a dedicated ML Engineer with a robust foundation in Artificial Intelligence and Machine Learning. My passion for these fields drives my current research, which focuses on developing a cloudburst prediction system. This project exemplifies my commitment to leveraging machine learning for solving real-world problems and contributing to advancements in AI.
My professional journey is marked by a keen interest in building data pipelines and implementing AI-driven solutions. My analytical mindset and attention to detail ensure that my work is precise, reliable, and impactful. I pride myself on my commitment to continuous learning, constantly staying abreast of the latest developments in AI and machine learning.
Outside of my professional and academic pursuits, I enjoy engaging in music and playing badminton. These hobbies provide a necessary balance, allowing me to unwind and maintain a well-rounded lifestyle.
Looking ahead, I am focused on deepening my research expertise. After completing my master’s degree, I aim to pursue research-oriented jobs that allow me to explore innovative solutions within the field of machine learning. Ultimately, my ambition is to obtain a PhD and contribute to the academic and practical advancements in AI and machine learning, driving forward the frontiers of technology.
My dedication, analytical skills, and passion for AI and machine learning position me as a promising researcher and a valuable asset in the tech industry.
Career Objective
To leverage my expertise in Artificial Intelligence and Machine Learning, along with my strong analytical and detail-oriented approach, to contribute significantly to research-oriented roles. My immediate goal is to pursue advanced research, particularly in machine learning applications like cloudburst prediction systems, and to continue my academic journey towards a PhD. Through continuous learning and practical experience, I aim to innovate and excel in the field of machine learning and AI.
Resume
Leadership and Work Experience
NYNEXA
Backend Developer Intern | (April 2024 – May 2024)
- Developed initial backend architecture for an AI/Web3 SaaS product, boosting system efficiency by 20% using AI dev tools.
- Established a scalable backend foundation with NextJS, Tailwind CSS, and MongoDB.
SyntHeim [Radian Arc]
Software Developer Intern | (Jan 2024 – Present)
- Contributed to developing an AI-driven health application using ML, DL, Computer Vision, and NLP.
- Led a team of 8 developers to create a virtual AI assistant for real-time personalized and multilingual experiences.
Personal Projects
Cloudy (A high rainfall & cloudburst prediction model)
- Achieved 99.97% accuracy in predicting cloud bursts using advanced data management & ML techniques.
- Built an intuitive UI with Next.js and a robust backend using Flask & NextJS for real-time interaction, a blog for recent news updates, user authentication & registration, and data management using PostgreSQL.
Facial Emotion Recognition Model
- Developed a real-time facial emotion recognition model using TensorFlow and OpenCV.
- Enhanced model accuracy through extensive data preprocessing and augmentation.
Bangalore House Price Prediction
- Implemented machine learning and extensive data analysis & preprocessing achieving the accuracy of 86.64%.
- Developed an intuitive UI using NextJS and a robust backend with Flask.
Stock Price Predictor and Analyzer
- Forecasted stock prices using advanced ML algorithms.
- Integrated an IBM Watson-powered chatbot for real-time analysis and personalized recommendations.
TeckIt (In Progress)
- Online team-building platform using ReactJS and Django.
- Implemented a chatroom with Web-Sockets and virtual meeting rooms with Web-RTC.
Academic Achievements
- Top 10 Teams in HackMait-22 (MAIT) and EmpowHer Hack by IEEE-IIITD.
- Earned IBM Artificial Intelligence and Machine Learning Certification and completed a project under the guidance of Mr. Himanshu Souda.
- Obtained Coursera certification in Machine Learning and Deep Learning by Andrew Ng from Deeplearning.ai.
- Top 25 Vihan-2.0 by IEEE-DTU-23 Hackathon.
- Contributed to open-source projects.
- Held leadership roles in ECELL-ADGITM and Swaranjali-ADGITM.
Extracurricular Activities
- University Level: Bronze medalist in the GGSIPU University sports meet.
- School Level: Secured overall Gold 3 times at the Zonal Level.
These accomplishments reflect a high level of skill and dedication to the sport, highlighting both competitive success and a commitment to physical fitness.