Aditya Ware
@adityaware
AI Engineer building and deploying production-grade LLM workflows, RAG pipelines, and GenAI systems.
What I'm looking for
I am an AI Engineer with hands-on experience designing, building, and deploying LLM workflows, RAG pipelines, and end-to-end GenAI systems for real-world clients. I combine a strong engineering foundation in Python, distributed systems, and ML fundamentals with direct customer engagement to gather requirements and deliver reliable production-grade AI solutions.
My projects include lightweight language models, multimodal medical assistants, and bias-aware classifiers, and I have delivered measurable improvements such as 80% reduction in manual search time and 35% faster video processing for large asset sets. I prioritize robust deployment, monitoring, and iterative optimization to ensure systems meet latency, accuracy, and fairness goals.
Experience
Work history, roles, and key accomplishments
AI Engineer
Freelance
Jan 2024 - Aug 2025 (1 year 7 months)
Built and deployed LLM workflows, RAG pipelines, and production GenAI systems for clients across healthcare, finance, and content moderation; reduced manual search time by 80% and delivered end-to-end solutions from requirements to deployment.
AI Engineer
Colage Communication
Apr 2025 - Jul 2025 (3 months)
Developed a generative AI video-generation pipeline using custom-trained models, reducing processing time by 35% across 500+ video assets and deploying scalable inference workflows.
Software Developer Intern
VanillaKart
Jan 2023 - Jan 2024 (1 year)
Built and optimized backend components for an e-commerce platform, improving query efficiency by 28% and contributing to backend reliability.
Data Management Intern
Junoon Foundation
Jan 2022 - Jan 2023 (1 year)
Developed Power BI dashboards for quarterly reporting, enhancing data visibility for stakeholders and streamlining reporting workflows.
Education
Degrees, certifications, and relevant coursework
Thakur College of Engineering & Technology
Bachelor of Engineering, Engineering
Grade: GPA:8.10
Pursued Bachelor of Engineering with coursework in Machine Learning, Deep Learning, Statistical Learning Theory, Optimization, NLP, and Distributed Systems; graduated in 2025 with a GPA of 8.10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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