Aakarsh Kumar
@aakarshkumar
GenAI engineer-in-training building production RAG and agentic AI systems that cut turnaround time fast.
What I'm looking for
I build production-ready GenAI and agentic AI solutions, with a focus on RAG pipelines, LLM orchestration, and measurable performance gains. I’ve shipped end-to-end AI products by designing AI/ML cores with FastAPI, integrating AI-assisted frontends, and wiring PostgreSQL/Supabase for persistence.
In my recent internship, I deployed a production RAG pipeline (LangChain + PageIndex) over 15K+ docs and reduced content lookup time by ~60%. I also fine-tuned a BERT classifier for intent detection at 88% F1 and built an LLM generation pipeline (Gemini API + LangChain) that cut campaign turnaround from 3 days to under 4 hours.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Intern
Scalezix
Jul 2025 - Mar 2026 (8 months)
Owned end-to-end AI product delivery across 8 months, building AI/ML cores with FastAPI and integrating PostgreSQL/Supabase for persistence. Built a production RAG pipeline over 15K+ docs (LangChain + PageIndex) to reduce content lookup time by ~60%, and fine-tuned a BERT intent classifier achieving 88% F1 while cutting campaign turnaround from 3 days to under 4 hours.
Artificial Intelligence Intern
1Stop AI (Personifwy)
May 2025 - Jun 2025 (1 month)
Optimized TensorFlow/Keras training pipelines using batching and hyperparameter tuning, reducing training time by ~20% on 10K+ records. Performed EDA and feature engineering to improve validation accuracy by 30%, and developed end-to-end ML models (regression/classification) through FastAPI deployment.
Education
Degrees, certifications, and relevant coursework
Gautam Buddha University
Bachelor of Technology (B.Tech), Artificial Intelligence
2022 - 2026
B.Tech in Artificial Intelligence at Gautam Buddha University (Aug 2022–June 2026).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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