Prisha Singla
@prishasingla
AI-driven Software Engineer specializing in LLM-powered applications.
What I'm looking for
I am an AI-driven Software Engineer with a strong focus on developing innovative solutions using LLM-powered applications and multi-agent systems. My experience includes building real-time, distributed AI systems that enhance operational efficiency and user engagement. At Capgemini Technology Services, I engineered an AI-powered conversational chatbot that reduced manual workload by 30% and spearheaded the development of a next-gen AI agent, optimizing data retrieval and processing by 50%.
My technical expertise extends to designing scalable microservices and integrating real-time communication architectures, significantly improving system performance and response times. I am passionate about leveraging cutting-edge technologies such as CrewAI, Langchain, and AI-driven automation to deliver efficient solutions. My academic background in Computer Science Engineering, coupled with hands-on experience in various projects, has equipped me with the skills to tackle complex challenges in the AI domain.
Experience
Work history, roles, and key accomplishments
Software Engineer Analyst
Capgemini Technology Services
Dec 2023 - Present (1 year 5 months)
Engineered and deployed an AI-powered conversational chatbot, reducing manual workload by 30%. Developed a next-gen AI agent and scalable microservices, optimizing data retrieval and processing, cutting operational inefficiencies by 50%. Integrated real-time communication, enhancing system performance and user engagement.
Web Developer Intern
Sunfox Technologies
May 2022 - Aug 2022 (3 months)
Collaborated with teams to design and deploy the company's website, enhancing efficiency by 30%. Created a scalable data pipeline to process over 200,000 patient records, automating conversion and reducing manual processing time by 40%.
Education
Degrees, certifications, and relevant coursework
Graphic Era Hill University
Bachelor of Technology, Computer Science Engineering
2019 - 2023
Grade: 8.8 CGPA
Completed a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.8. Gained expertise in various programming languages and AI technologies, focusing on the development of intelligent systems and applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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