.png){kind=logo}
Jeevan aher
Junior AI Engineer specializing in fraud detection, credit risk, and LLMs in FinTech
Connect with Jeevan
Jeevan already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
AI engineer with production experience building a high-accuracy (98%) fraud detection system operating at real-time latency (1–2s) over millions of transactions, using a multi-model pipeline approach to meet performance constraints. Also implemented Airflow-orchestrated workflows (DAGs, retries, alerts) to replace brittle cron scripts and is currently pursuing a master’s project on real-time ASL-to-text conversion.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built and deployed fraud detection system handling millions of transactions with ~98% accuracy
- Designed low-latency real-time decisioning (1–2 second inference requirement)
- Architected multi-model pipelines to reduce inference time versus a single monolithic model
- Improved reliability of fraud detection data workflows by migrating cron-based scripts to Apache Airflow (DAGs, retries, alerts)
- Structured approach to AI workflow reliability (modular design, layered testing, monitoring, rollback)
- Effective collaboration with non-technical operations stakeholders using dashboards and iterative threshold/feature tuning
Like what you see? We'll introduce you to Jeevan directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Praveen V
Mid-Level Software Engineer specializing in Generative AI and RAG systems
“Built a production RAG-based natural-language-to-SQL system at Global Atlantic to replace slow, expensive manual analytics ticket workflows, focusing heavily on retrieval quality and measurable evaluation (200-question ground-truth set; recall@5 improved 0.65→0.78 via semantic chunking). Also built a custom MCP-style agent orchestrator for a personal project (arxiv-ai) to improve flexibility and Langfuse-aligned observability, and has hands-on experience with LangGraph, CrewAI, and n8n.”
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Gagan Reddy Konani
Mid-level Machine Learning Engineer specializing in LLMs and RAG for healthcare
“AI Engineer (Medtronic) who deployed a production RAG-based clinical assistant grounded in curated biomedical literature (no patient-identifiable data). Deep hands-on experience orchestrating and hardening LLM workflows with LangChain/LangGraph, including stateful agentic flows, rigorous testing, and evaluation; reports a 72% accuracy improvement through retrieval enhancements (query rewriting, multi-query expansion, MMR reranking).”
Interested in Jeevan?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Jeevan
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent