jaisal shekhawat
@jaisalshekhawat
Aspiring AI Engineer with expertise in machine learning and data analysis.
What I'm looking for
I am an aspiring AI Engineer with a strong foundation in machine learning, data analysis, and cloud computing. My academic journey culminated in a Master of Computer Applications, where I achieved a CGPA of 9.57/10 from Xavier Institute of Management and Informatics in Jaipur. I have a passion for leveraging technology to solve real-world problems, particularly in the healthcare sector.
Currently, I am an AI Engineer Intern at Cognimed Technologies, where I am building an agentic Medical AI Assistant. This role has allowed me to integrate advanced technologies like CrewAI and LangChain for collaborative diagnosis and symptom analysis. My previous experience as a Cloud Networking Intern at Celebal Technologies provided me with hands-on exposure to cloud infrastructure and networking, enhancing my technical skill set significantly.
Experience
Work history, roles, and key accomplishments
AI Engineer Intern
Cognimed Technologies
Apr 2025 - Present (3 months)
Building an agentic Medical AI Assistant using CrewAI and LangChain for collaborative diagnosis, Q&A, and symptom analysis. Integrated Weaviate for vector search and Tavily for fallback RAG; deployed via FastAPI with guardrails for safe medical responses.
Cloud Networking Intern
Celebal Technologies
Apr 2024 - Present (1 year 3 months)
Worked on Microsoft Azure focusing on cloud networking, IP addressing, and data infrastructure. Gained hands-on experience in cloud-based deployments and infrastructure management.
Contributor
GirlScript Summer of Code
Jan 2024 - Present (1 year 6 months)
Contributed to open-source projects with a focus on data-centric and AI tasks. Enhanced collaboration, problem-solving, and version control practices in team environments.
Education
Degrees, certifications, and relevant coursework
Xavier Institute of Management and Informatics
Master of Computer Applications, Computer Applications
Grade: 9.57/10
Activities and societies: Social Outreach Secretary – Student Council, Published Research Paper: Greener Choices, Made Easy – The Impact of E-Waste Facility Locators on Environmental Sustainability
Achieved a CGPA of 9.57/10, demonstrating strong academic performance in computer applications. Developed expertise in programming, machine learning, and data handling.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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