Pushkal Neema
@pushkalneema
I build cost-efficient RAG and LLM systems that improve enterprise AI performance.
What I'm looking for
At MoonPhaseIT Solution, I built an AI-powered CMO platform for KeyQuest that reduced API calls by 40% and cut infrastructure and LLM costs by 30%. I also developed a RAG-based customer support system that improved ticket resolution speed by 25% and architected an LLM Firewall that blocked 95% of off-topic prompts.
I'm building scalable AI applications with Python, Django REST Framework, LangChain, vector databases, and automation tools. My projects include a legal document Q&A backend, a Netflix-style AI recommendation system, and n8n workflows for AI-powered news publishing across Slack, Twitter, and LinkedIn.
Experience
Work history, roles, and key accomplishments
AI Engineer Intern
MoonPhaseIT Solution
Jun 2025 - Present (1 year 2 months)
Developed an AI-powered CMO platform for KeyQuest, reducing API calls by 40% and cutting infrastructure and LLM costs by 30% through optimized caching. Designed and built an intelligent RAG-based customer support system that improved ticket resolution speed by 25% using semantic search, token usage tracking, and cost monitoring.
Education
Degrees, certifications, and relevant coursework
Shri GSITS
Bachelor of Technology, Mechanical Engineering
Pursuing a Bachelor of Technology in Mechanical Engineering, expected to graduate in June 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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