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@unnatuser

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AI Engineer Trainee building applied ML systems for scalable search, ranking, and extraction.

India

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What I'm looking for

I’m looking for an applied AI/ML role where I can ship reliability-first ML systems—search, ranking, and extraction—using scalable services (vector DBs, AWS, CI automation). I want engineering ownership and measurable impact from day one.

I’m an AI Engineer Trainee focused on turning applied AI into reliable, scalable products. At InfoAxon Technologies, I built an AI Autotagger that boosted insurance content search efficiency by 4x, delivering 90% classification accuracy and 80%+ content extraction through refined prompt design, batched NER, bi-encoder matching, and cross-encoder reranking.

I also reduced pre-release QA cycle time by 60% by engineering a hygiene/auditing microservice—an “Engineering Hygiene Checker” integrated into Jenkins/GitLab CI with CLI, JSON config, and a live dashboard. I’ve shipped this tooling to SammaanCapital and PNBHFL, keeping reliability and automation at the core.

Before that, as a Machine Learning Intern at Intellohire, I architected the core AI Sourcing Engine pipeline, storing LinkedIn-sourced candidates in a Weaviate vector database and deploying models on AWS SageMaker + AWS S3 for scalable inference. I optimized recruiter recommendations to yield 2x more interested candidates using an XGBoost+PyTorch reranker, and I cut sourcing costs by 50%+ with online learning (MAML) adapting reranker preferences in real time.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Trainee

Current

InfoAxon Technologies

Oct 2025 - Present (8 months)

Built an AI Autotagger microservice that boosted insurance content search efficiency by 4x. Delivered 90% classification accuracy and 80%+ extraction using batched NER, bi-encoder matching, and cross-encoder reranking, and reduced pre-release QA cycle time by 60% via a Jenkins/GitLab CI web-auditor with live dashboard.

Prompt Engineering Bi Encoder Matching Microservices Content Classification Jenkins CI Gitlab CI

Machine Learning Intern

Intellohire

Oct 2024 - Oct 2025 (1 year)

Architected an AI sourcing engine pipeline that stored LinkedIn-sourced candidates in Weaviate and enabled scalable inference with AWS SageMaker and S3. Improved recruiter recommendations by 2x interested candidates using an XGBoost + PyTorch reranker with PySpark feature engineering, and cut sourcing costs by 50%+ using MAML online learning to adapt reranking to recruiter preferences in real time

AWS Sagemaker AWS S3 PyTorch XGBoost Pyspark Online Learning Ranking Optimization (NDCG)

Freelance Developer

Bhaagya Rekha

Jan 2026 - Present (5 months)

Delivered Gemini-assisted, filterable outputs with clean PDF reports across multiple Vedic astrology schools, generating 10x business value. Reduced astrological computation time from 4+ hours to under 10 minutes using PySwissEph and domain-aligned prompt engineering.