Salil Mishra — Software Engineer
I design and build scalable, production-ready AI systems with a focus on conversational AI, LLMs, and cloud-native architectures. My work bridges the gap between cutting-edge machine learning research and real-world applications—helping teams turn promising ideas into reliable AI products. From data pipelines to multi-agent systems, I’m passionate about making AI practical, efficient, and impactful. I bring a combination of technical depth and hands-on experience across tools like Kubernetes, Azure/AWS, and CI/CD, along with a strong interest in translating research into robust, real-world systems. 🔹 Specialized in Large Language Models (LLMs), RAG, NLP, and Computer Vision 🔹 Experienced in building and deploying cloud-native microservices and AI infrastructure 🔹 Skilled in developing robust data ingestion and inference pipelines 🔹 Advocate for automation and DevOps best practices to improve engineering workflows If you're working on AI-driven products, exploring new ML applications, or just want to connect around AI engineering, I’d be glad to connect.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI-driven products and cloud-native solutions.
Experience: 4 yrs 5 mos
Skills
- Data Science
- Machine Learning
Career Highlights
- Expert in building scalable AI systems and cloud-native architectures.
- Strong background in machine learning research and practical applications.
- Proficient in automation and DevOps best practices.
Work Experience
DB Systel GmbH
Software Engineer (3 yrs)
Alexander Thamm GmbH
Software Engineer (6 mos)
Trainee Data Science (11 mos)
Episource LLC
Data Science Intern (5 mos)
Gremloon
Data Science Intern (2 mos)
Omdena
Machine Learning Engineer (2 mos)
Education
Bachelor of Technology at The LNM Institute of Information Technology
Summer School on Computer Vision and Advanced Machine Learning at IIIT Hyderabad