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Aniket Kumar
AI Developer
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Aniket Kumar

Aniket Kumar

AI Developer

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Verified Expert

Organization
Proso AI Technologies Pvt Ltd
Location
N/A
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About

Aniket Kumar is an AI Developer intern at Proso.ai and a passionate software engineer with a solid foundation in backend development, natural language processing, and scalable cloud-based solutions. He excels in designing intelligent, high-performance applications that bridge the gap between user needs and AI-powered automation, leveraging a combination of modern frameworks and applied machine learning techniques.


Aniket’s technical expertise includes Python, FastAPI, and OpenAI APIs, enabling him to build and deploy smart, responsive systems such as chatbots and conversational AI applications. He has hands-on experience with NLP libraries like Transformers and spaCy, which he uses to implement meaningful text understanding capabilities. His backend proficiency is complemented by RESTful API design skills, ensuring smooth development and reliable deployment across environments.


In addition to his AI and NLP skills, Aniket has worked extensively with NoSQL databases such as MongoDB, optimizing data handling for dynamic and large-scale applications. His cloud exposure and ability to integrate intelligent features into production-ready systems reflect his adaptability and attention to performance and scalability.


Aniket thrives in collaborative and fast-paced environments, combining a thoughtful engineering mindset with strong problem-solving abilities. His eagerness to explore new technologies, contribute to impactful solutions, and continuously grow as a developer drives him to stay at the forefront of AI integration and backend engineering. By uniting his skills in backend development, cloud platforms, and conversational AI, Aniket aims to build systems that are not only intelligent but also practical and user-centric.

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Skills

RESTful APIs, Machine Learning, SQL, Software Development, C++, Python, MongoDB
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Projects

Projects

Secure Telemedicine via Multimedia Steganography

November 2024 - December 2024

Designed a security-focused telemedicine system to protect sensitive patient information by embedding multimedia data (images, text, audio) within medical files using advanced steganography techniques.

  • Problem Statement: Addressed the need for secure and private data transmission in telemedicine, focusing on DICOM files and real-time doctor-patient communication.
  • Steganography & Embedding: Implemented image and text steganography methods to conceal confidential data inside medical images without compromising quality or diagnostic value.
  • Data Handling: Managed multimedia components, including image preprocessing and metadata parsing, ensuring compatibility with healthcare systems.
  • Security Enhancement: Ensured data integrity and privacy, mitigating potential risks associated with unauthorized access or tampering in digital health records.
  • Research & Innovation: Developed the system based on the CrypticCare research paper, with significant enhancements aimed at real-life applicability in telemedicine platforms.

Technologies Used:

Python, NumPy, OpenCV, Pillow, Tkinter, DICOM (pydicom), Cryptography

Projects

Credit Card Fraud Detection using ML

October 2024 - November 2024

Developed a machine learning system to detect fraudulent credit card transactions, focusing on identifying anomalies in financial data to prevent fraud.

  • Data Processing: Cleaned and preprocessed the dataset, handled missing values, and performed feature selection to optimize model performance.
  • Modeling: Implemented and compared multiple classification algorithms, including Random Forest, K-Nearest Neighbors (KNN), Naive Bayes, and Logistic Regression using Scikit-learn.
  • Performance Evaluation: Evaluated models using performance metrics such as accuracy, precision, recall, F1-score, and ROC-AUC to identify the most effective model for fraud detection.
  • Hyperparameter Tuning: Applied cross-validation and hyperparameter optimization to enhance model performance and reduce overfitting.
  • Visualization: Used Matplotlib and Seaborn for data exploration and visualization, helping to understand patterns and insights in the transaction data.

Technologies Used:

  • Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn

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Work experience

AI Developer Intern

Proso.ai - January 2025 to Invalid Date

Contributing to the development of AI-driven chatbot solutions and cloud-native microservices, with a focus on natural language processing, API development, and scalable backend architecture.

  • AI & NLP Development: Worked on building intelligent conversational agents using Transformers, spaCy, and OpenAI APIs, enabling context-aware interactions and enhanced user experience.
  • Backend & API Engineering: Developed and maintained scalable RESTful APIs using FastAPI, facilitating seamless communication between microservices and frontend clients.
  • Database Management: Worked with MongoDB and NoSQL databases to store structured and unstructured data, including embeddings for NLP pipelines.
  • Team Collaboration: Participated in agile sprints, contributing to code reviews, documentation, and deployment automation, while continuously enhancing performance and scalability.

Technologies Used:

Python, FastAPI, RESTful API, OpenAI API, MongoDB, Git

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Education

Bachelor of Technology, Information Technology

Netaji Subhas University of Technology, New Delhi, India - July 2021 - January 1970

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Certifications

Problem solving

Software engineer intern

Python certification

Sql certification

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Visa and Work permits

Aniket Kumar

is available