KUNAL MISHRA — Software Engineer
Backend & AI Engineer with more than 3 years of experience building distributed systems, large-scale data pipelines, and applied AI platforms in high-performance environments. I’ve designed and deployed systems in Java, Python, and C++, powering real-time risk analytics, portfolio optimization, and AI-driven research tools used by quant teams managing billions of dollars in AUM. At Millennium and AQR, I worked at the intersection of backend infrastructure, data engineering, and applied machine learning — delivering platforms that process billions of metrics, optimize computation across clusters, and integrate LLMs and autonomous agents into enterprise workflows. I’m particularly passionate about scalable backend architectures, high-throughput data systems, cloud-native microservices (AWS, Kafka, Airflow, Redis), and applied AI/LLMs. Always excited to connect with teams solving ambitious distributed systems and large-scale AI challenges at global scale.
Stackforce AI infers this person is a Backend and AI Engineer specializing in Fintech and high-performance data systems.
Location: Bengaluru, Karnataka, India
Experience: 3 yrs 7 mos
Skills
- Distributed Systems
- Artificial Intelligence (ai)
- Quantitative Analytics
- Machine Learning
Career Highlights
- Expert in building distributed systems and AI platforms.
- Experience with high-performance data pipelines and real-time analytics.
- Passionate about scalable backend architectures and cloud-native microservices.
Work Experience
Millennium
Software Engineer (1 yr 8 mos)
AQR Capital Management
Quantitative Developer (1 yr 11 mos)
Samsung R&D Institute India - Bangalore
Software Research Intern (2 mos)
Education
Bachelor of Technology - BTech at Indian Institute of Technology (Banaras Hindu University), Varanasi
Class 12 at St. Don Bosco College
Class 10 at St. Don Bosco College