.png){kind=logo}
Somil Shah
Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents
Connect with Somil
Somil 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/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).
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 10+ AI/LLM production-grade applications
- End-to-end RAG system design (ingestion, vectorization, retrieval tuning, chat UX) with citations and traceability
- Strong hallucination mitigation via evidence-only answering, hard citation requirements, and refusal gating
- Orchestrated scheduled data refresh pipelines with Airflow/Cloud Composer (scrape → clean/dedupe → chunk → embed → upsert)
- Multi-agent system design and orchestration (7 specialized agents) with delegation, memory, feedback loops, and fallbacks
- Reliability engineering for AI workflows: SLOs/metrics, schema-constrained outputs, deterministic control flows, retries/fallbacks
- Testing and production observability for AI systems (unit tests, CI/CD smoke tests, logging, traces, drift alerts)
- Effective collaboration with non-technical stakeholders to translate diligence checklists into structured outputs and prompts
Like what you see? We'll introduce you to Somil directly.
Experience
Education
Awards
Skills
Languages
Publications
1 publication
Browse Similar
Similar Candidates
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Mid-level Machine Learning Engineer specializing in MLOps and production AI
Piyush Rajendra
Mid-level AI/ML Engineer specializing in production RAG systems and MLOps
“Built and deployed a GPT-4 + Pinecone RAG system that lets users query large internal document collections with grounded, cited answers. Demonstrates strong applied LLM engineering (chunking experiments, hallucination controls, metadata recency boosting) plus production-minded evaluation/monitoring and performance tuning (rate-limit mitigation via pooling/batching). Also effective at translating complex AI concepts to non-technical stakeholders through prototypes and live demos, helping secure client sponsorship.”
Junior AI Engineer specializing in agentic systems and LLM infrastructure
Harsh Chauhan
Junior AI Engineer specializing in Generative AI, RAG, and NLP
“AI/LLM engineer who has shipped a production RAG platform at Ticker Inc. on GCP (Qdrant + Postgres) delivering sub-second retrieval over 550k+ items, with measurable gains in latency and answer quality (HNSW optimization, MMR re-ranking). Also built an asynchronous LangChain/LangGraph multi-agent research system (10x faster cycles) and partnered with Indiana University doctors on synthetic patient records and ML error analysis using clinician-friendly F1/loss dashboards.”
Interested in Somil?
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 Somil
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent