.png){kind=logo}
Vismay Devjee
Mid-level GenAI Engineer specializing in AI agents, RAG, and LLM evaluation
Connect with Vismay
Vismay 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
Asset Management Risk professional at Fidelity Investments who built and productionized an agentic RAG platform enabling compliance and analysts to query 10,000+ fund documents with cited answers in seconds. Implemented structure-aware semantic chunking (AWS Textract), hierarchical retrieval, and hybrid search to raise accuracy from 68% to 94%, and built an evaluation framework tracking accuracy/latency/cost/hallucinations—delivering 40+ hours/month saved and zero critical production failures.
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 an end-to-end agentic RAG system for querying 10,000+ financial fund documents
- Improved retrieval accuracy from 68% to 94% via hybrid retrieval and iterative tuning
- Designed structure-aware semantic chunking for dense financial tables using AWS Textract and custom Python
- Implemented hierarchical retrieval (category → document → granular chunks) with rich metadata for context preservation
- Established guardrails and out-of-scope query handling to reduce hallucinations in production
- Created an LLM evaluation system tracking accuracy, latency, cost per query, and hallucination rate (citation verification)
- Strong reliability engineering: schemas, confidence thresholds, fallbacks, human-in-the-loop, unit + integration testing
- Cross-functional delivery: ran weekly working sessions with non-technical stakeholders and coached users on prompting
- Demonstrated measurable business impact (94% accuracy, 40+ hours saved monthly, zero critical production failures)
Reference Highlights
- Proactive iteration based on feedback
- Comfortable presenting to stakeholders at all levels
- Strong communication with both technical and non-technical audiences
- Able to translate technical concepts into business context
- Responsive in resolving what worked/didn't work to meet requirements
- Instrumental in creating an LLM-based evaluator for an operational risk concern
- Respected by team members
- Pleasure to work with
- Clear and concise communicator in most areas
- Able to explain difficult concepts (agentic AI) to non-technical audiences reasonably well
- Works effectively with guidance from senior engineers and architects
- Effective collaboration with business partners during beta testing
Vismay's references speak for themselves. Let us connect you.
Experience
Education
Skills
Languages
Browse Similar
Similar Candidates
Srikar Gundreddy
Mid-level Software Engineer specializing in Robotics and AI systems
“Software Developer at Amazon Robotics who co-developed a congestion-aware path planning system optimizing robot routes across 23 warehouses. Built and operated a real-time, service-integrated pipeline using AWS (AppConfig, DynamoDB), Java, and Redis caching, and has hands-on experience debugging robot behavior on-site with rigorous testing and staged releases.”
Kajal Gada
Senior Robotics Software Engineer specializing in ROS, CI/CD, and autonomy tooling
“Robotics software engineer with hands-on experience migrating a robotics project from ARM to AMD by building a Dockerized environment with PyTorch/CUDA dependencies, improving data processing and battery efficiency. Has integrated ROS 2 nodes for a Time-of-Flight camera and debugged motion-planning issues (tight-turn stopping) using data collection and iterative tuning; also built custom robots in Webots for sensor/actuator-driven behaviors.”
Junior AI Software Engineer specializing in LLM applications and RAG systems
Junior AI/Machine Learning Engineer specializing in healthcare applications
Vaishnavi Veerkumar
Mid-level AI Engineer specializing in GenAI and RAG systems
“AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.”
shivapriya pillalamarri
Mid-level AI/ML Engineer specializing in financial analytics and production ML systems
“Analytics candidate with experience in financial transaction and fraud detection projects, combining SQL data preparation, Python-based automation, and dashboarding. They have owned projects from stakeholder alignment and metric definition through rollout, with emphasis on reducing false positives, improving operational efficiency, and making analytics outputs easy for business teams to adopt.”
Interested in Vismay?
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 Vismay
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent