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Innovative and results-driven Software Engineer with hands-on experience in building agentic workflows, fine-tuning large language models (LLMs), and engineering robust AI safety mechanisms. Specialized in developing proof-of-concept and production-ready conversational AI solutions using frameworks like CrewAI, Langchain, and Nemo-Guardrails. Proven ability to design scalable, secure, and compliant AI systems for domains such as insurance and banking, with a focus on modular architecture, data privacy, and real-world applicability.…Innovative and results-driven Software Engineer with hands-on experience in building agentic workflows, fine-tuning large language models (LLMs), and engineering robust AI safety mechanisms. Specialized in developing proof-of-concept and production-ready conversational AI solutions using frameworks like CrewAI, Langchain, and Nemo-Guardrails. Proven ability to design scalable, secure, and compliant AI systems for domains such as insurance and banking, with a focus on modular architecture, data privacy, and real-world applicability.

Mohamed Aslam

AI Engineer, Developer, Data Scientist, +1

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Innovative and results-driven Software Engineer with hands-on experience in building agentic workflows, fine-tuning large language models (LLMs), and engineering robust AI safety mechanisms. Specialized in developing proof-of-concept and production-ready conversational AI solutions using frameworks like CrewAI, Langchain, and Nemo-Guardrails. Proven ability to design scalable, secure, and compliant AI systems for domains such as insurance and banking, with a focus on modular architecture, data privacy, and real-world applicability.…Innovative and results-driven Software Engineer with hands-on experience in building agentic workflows, fine-tuning large language models (LLMs), and engineering robust AI safety mechanisms. Specialized in developing proof-of-concept and production-ready conversational AI solutions using frameworks like CrewAI, Langchain, and Nemo-Guardrails. Proven ability to design scalable, secure, and compliant AI systems for domains such as insurance and banking, with a focus on modular architecture, data privacy, and real-world applicability.

Available to hire

Innovative and results-driven Software Engineer with hands-on experience in building agentic workflows, fine-tuning large language models (LLMs), and engineering robust AI safety mechanisms. Specialized in developing proof-of-concept and production-ready conversational AI solutions using frameworks like CrewAI, Langchain, and Nemo-Guardrails. Proven ability to design scalable, secure, and compliant AI systems for domains such as insurance and banking, with a focus on modular architecture, data privacy, and real-world applicability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Software Engineer at Cognizant

June 1, 2022 - Present

At Cognizant since June 2022, I architected an agentic JIRA automation system using the CrewAI Agent Framework to reduce manual ticket creation time by 50%. I developed multi-agent workflows improving story accuracy and completeness by 35%, and engineered modular task orchestration enhancing productivity by 25%. I built APIs for real-time ticket generation interfaces. I also fine-tuned and containerized the Mistral 7B LLM for insurance-specific NLP tasks, increasing accuracy by 18%, and implemented Nemo-Guardrails to ensure compliance and safety, reducing PII exposure by 90%. Additionally, I developed LLM-based chatbots for banking and small businesses, increasing customer engagement by 40% in pilots.

Software Engineer at Cognizant

June 1, 2022 - Present

Architected an agentic JIRA automation system using the CrewAI Agent Framework to reduce manual ticket creation time by 50%. Developed multi-agent workflows improving story accuracy and completeness by 35%, and enhanced ticket generation consistency by 25% across agile teams. Built a FastAPI interface supporting real-time ticket generation. Trained and fine-tuned the Mistral 7B LLM for insurance tasks, improving domain accuracy by 18% and containerized deployment reducing time by 40%. Engineered multi-layered LLM guardrails for safety and compliance, achieving 100% alignment with internal standards and reducing data exposure incidents by 90%. Developed conversational AI projects including GPT-powered banking chatbots and small business chatbots, increasing engagement and decision-making efficiency. Identified and reported critical documentation bugs enhancing LLM deployment reliability.