About
I am a highly skilled Generative AI Engineer with experience in building production-ready RAG pipelines, integrating PEFT techniques, and developing task-driven AI agents. I am passionate about exploring new technologies and finding innovative solutions to real-world problems. My knowledge and expertise in AI and data science have enabled me to make significant contributions to my previous organizations. I am a quick learner and a team player, always looking for opportunities to expand my skillset and collaborate with others.
Skills & Expertise (20)
Work Experience
Software Engineer
IBM
Oct-2022 - Dec-2024
Optimized system performance by implementing Solace Pub-Sub instead of DB Copy, reducing CPU, memory and I/O load by 60%. Integrated WatsonX and GenAI capabilities to automate document summarization and data extraction, boosting accuracy by 30% and reducing manual review effort. Developed Interview Guru AI, a RAG-based assistant for automated interview preparation, improving candidate readiness by 20% and showcasing real-world GenAI applications. Automated reporting workflows for operations, saving 6 –8 hours/week of manual effort and enabling real-time business insights.
Junior Data Scientist
Great Learning
Jan-2022 - Jun-2022
Designed and implemented machine learning models to solve real-world business problems, enhancing predictive accuracy and model performance. Created simplified educational content and tutorials to demystify complex ML topics for learners from non-technical backgrounds. Built and delivered interactive case studies and hands-on ML projects, enabling professionals to gain practical experience in AI and data science. Contributed to the design of an industry-aligned ML curriculum, incorporating best practices and emerging trends in machine learning and AI.
Generative AI Engineer
Outlier AI
Apr-2025 - Present
Designed and deployed production-ready RAG pipelines using LangChain, LlamaIndex and vector databases (FAISS, ChromaDB) for intelligent document retrieval and context-aware Q&A. Integrated PEFT techniques (e.g., LoRA) to fine-tune large language models (LLMs) for domain-specific tasks, boosting response precision and coherence. Built task-driven AI agents using Agent Development Kit, enabling automation for customer support, code review and structured data extraction workflows. Evaluated and curated real-world prompts and coding tasks to improve LLM benchmarking and align model outputs with business requirements. Collaborated across data science, product and MLOps teams to streamline model evaluation pipelines, enhance test coverage and improve retriever precision.
Education
B. Tech in ECE Engineering
2018 - 2022 · India
High School in Computer Science
2016 - 2018 · India
Certifications
Retail Industry Insights
IBM · 2024
Certificate for completing the Retail Industry Insights course.
IBM Agile Explorer
IBM · 2023
Certificate for completing the IBM Agile Explorer course.
IBM Cloud Advocate
IBM · 2023
Certificate for completing the IBM Cloud Advocate course.
GenAI & WatsonX for IBM
IBM · 2023
Certificate for completing the GenAI & WatsonX for IBM course.
Enterprise Design Thinking
IBM · 2023
Certificate for completing the Enterprise Design Thinking course.
Introduction to LLM
Google · 2021
Certificate for completing the Introduction to LLM course offered by Google.
Applying AI Principles
Google · 2021
Certificate for completing the Applying AI Principles course offered by Google.
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Skills (20)
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