KUNAL MISHRA

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key 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.
Stackforce AI infers this person is a Backend and AI Engineer specializing in Fintech and high-performance data systems.

Contact

Skills

Core Skills

Distributed SystemsArtificial Intelligence (ai)Quantitative AnalyticsMachine Learning

Other Skills

AI AgentsAlgorithmsAmazon Web Services (AWS)Apache AirflowApache KafkaBlockchainC++Cascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Data ScienceDeep LearningEnterprise Risk ManagementEthereumExpress.jsFastAPI

About

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.

Experience

Millennium

Software Engineer

Jul 2024Present · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Risk Technology & Risk AI
Risk TechnologyRisk AIDistributed SystemsArtificial Intelligence (AI)

Aqr capital management

Quantitative Developer

Jul 2022Jun 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

  • Quantitative Research and Development (Global Stock Selection)
Quantitative ResearchGlobal Stock SelectionQuantitative AnalyticsMachine Learning

Samsung r&d institute india - bangalore

Software Research Intern

May 2021Jul 2021 · 2 mos

  • Research intern @ Visual Intelligence

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology - BTech — Electronics Engineering

Jan 2018Jan 2022

St. Don Bosco College

Class 12 — CBSE

St. Don Bosco College

Class 10 — CBSE

Jan 2015Present

Stackforce found 100+ more professionals with Distributed Systems & Artificial Intelligence (ai)

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