.png){kind=logo}
Karan Variyambat
Mid-level Machine Learning Engineer/Researcher specializing in computer vision and multimodal AI
Connect with Karan
Karan 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
Developed a production wildfire smoke detection system where smoke is visually subtle and easily confused with fog/clouds; addressed this with a hybrid CNN+LSTM+ViT model and multimodal weather features to reduce false positives. Experienced running scalable, reproducible ML pipelines on shared GPU infrastructure using Slurm and Kubernetes-style batch jobs with checkpointing, retries, and rigorous error analysis.
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 a production wildfire smoke detection system from camera imagery
- Reduced false positives by combining visual modeling with contextual weather signals (multimodal approach)
- Designed hybrid deep learning architecture (CNN + LSTM + Vision Transformer) for subtle, ambiguous visual detection
- Handled real-world data issues: temporal misalignment and missing values across modalities
- Scaled and stabilized ML training/eval via Slurm and Kubernetes-style batch jobs with checkpointing and retries
- Strong evaluation discipline: metrics defined upfront, offline benchmarks, end-to-end stability checks, and scenario-based error slicing
Like what you see? We'll introduce you to Karan directly.
Experience
Education
Skills
Languages
Publications
1 publication
Similar Candidates
Jiyun Kim
Intern Full-Stack & ML Engineer specializing in AI products and data-driven optimization
“Worked in a startup building an automated carbon accounting/climate reporting product, partnering with client IT and internal cross-functional teams to ship features and train end users. Also has software engineering internship experience debugging complex multi-workflow systems, including uncovering a significant (~20%) data annotation error by instrumenting and testing each workflow step.”
Junior Robotics & ML Engineer specializing in autonomous systems and computer vision
Ronald Nap
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”
Entry Software Engineer specializing in AI infrastructure and ML inference systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision
Interested in Karan?
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 Karan
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent