Aditya Keshri profile photo 1 on Tal

Aditya Keshri

Lead Engineer @ Asper.ai | ex - NewSpace Research, Danske Bank | Fullstack Engineer

Bengaluru

6+ years of work experience

Asper.ai
Apr 20265 mosPresent

Bangalore Urban

Asper.ai
May 20242 yrsApr 2026

Hybrid

๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ: Delivered high-performance, data-intensive software systems focused on real-time processing, scalable architectures, and significant performance enhancements for complex business-critical applications. ๐Š๐ž๐ฒ ๐‚๐จ๐ง๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐ข๐จ๐ง๐ฌ: โ€ข Engineered Role-Based Access Control (RBAC) for user-based authorization, enabling granular control over application features, sub-features, and data access. โ€ข Built a high-performance global search on a SaaS platform using Typesense, delivering sub-100ms results across tens of thousands of data elements. Enabled direct actions from search results (e.g., opening reports, generating insights) through end-to-end design and implementation across frontend, backend, infrastructure, and system design (HLD/LLD). โ€ข Led the development of high-impact full-stack applications, processing millions of data points at scale with a focus on performance, reliability, configurability, and scalability. โ€ข Led a team to improve system performance by 90% through deep analysis and optimization, including migrating to DuckDB for faster query response times, refactoring code, and enhancing efficiency with smart caching, vectorization, optimized asynchronous calls, and eliminating redundant computations. โ€ข Established a clean coding culture and unit testing framework, improving code quality, reducing bugs, and enhancing team productivity. ๐Š๐ž๐ฒ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: โ€ข Dynamic Demand Planner โ€” Full-stack application for dynamic demand forecasting and planning, processing millions of data points to optimize supply chain decisions with real-time analytics and actionable insights. โ€ข Enterprise RBAC System โ€” Fine-grained Role-Based Access Control framework for SaaS platforms, ensuring precise user permissions management across complex feature sets and data hierarchies.
NewSpace Research and Technologies
Oct 20238 mosMay 2024

Bengaluru, Karnataka, India

๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ: Delivered mission-critical UAV software systems that significantly enhanced autonomous navigation, operational reliability, advanced target detection capabilities, and fault tolerance for defense-grade autonomous drones. ๐Š๐ž๐ฒ ๐‚๐จ๐ง๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐ข๐จ๐ง๐ฌ: โ€ข Innovated the integration of advanced gimbal algorithms, including Gimbal control, Look-At Lat/Long, and velocity movement with failsafe mechanism significantly improving the overall operational efficiency and effectiveness, resulting in a 50% increase in UAV mission success rates. โ€ข Enhanced localization and perspective frame algorithms to achieve a 72% increase in accuracy for calculations of target points in UAV foraging tasks. โ€ข Pioneered the implementation of CI/CD build and release pipelines for all projects, including arm64 builds on custom server - a challenging task, automating 100% of the process and significantly reducing manual human effort while enhancing build maintainability. โ€ข Led the enablement of DLA (Deep Learning Accelerator) on edge computing devices(Jetson NX, AGX Orin etc) potentially increasing the frame rate of autonomous drones by 300%. ๐Š๐ž๐ฒ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: โ€ข Target Detection & Localization - Real-time system for autonomous UAVs enabling target detection, precise geolocation calculations, and mapping in complex, adversarial environments including GPS-denied zones. โ€ข Distributed Drone Intelligence - Swarm autonomy algorithms and systems for coordinated multi-UAV operations, facilitating collective decision-making and mission execution even in communication-contested environments.
Danske Bank
Apr 20237 mosOct 2023

Bengaluru, Karnataka, India

โ€ข Designed and developed the full stack of Danske Bank's mobile app's 'Investment Management' portal, ensuring a seamless user experience on the front-end and efficient handling of investment-related functionalities on the back-end, boosting investment transactions by 40%. โ€ข Engineered ETL batch processes and an orchestrator with detailed optimization, enabling the system to seamlessly manage retrocession reconciliation tasks involving hundreds of millions in DKK while efficiently processing terabytes of data.
Danske Bank
Oct 20211 yr 7 mosApr 2023

Bangalore Urban, Karnataka, India

โ€ข Spearheaded the development of a comprehensive security library for authorization and authentication needs, implementing and integrating authentication protocols such as Kerberos, JWT, NTLM, ADFS, and scope validations across 20+ microservices and downstream services. โ€ข Constructed a robust & centralized rules engine framework that now manages and executes a diverse set of 500+ cost calculation rules, using a native rules priority algorithm, resulting in a significant increase in code reusability and flexibility. โ€ข Resolved technical debts through consolidation of caching, streamlined cost calculations, CPU and network optimization, business logic migration to a rules engine framework, and abstract factory versioning, resulting in a 30% system performance improvement with 99.99% reliability. โ€ข Optimized microservices for improved code readability, reduced API response times (>10%), and transformed monolithic architecture into a decoupled structure.
Danske Bank
Jul 20201 yr 4 mosOct 2021

Bengaluru, Karnataka, India

โ€ข Designed, developed, tested, and maintained high-impact, high-performance full-stack applications from inception, handling over 1.5 million monthly pings in an agile environment. โ€ข Implemented anti-corruption layer batch processes to enhance API reliability and optimize data quality. โ€ข Analyzed and interpreted 9 million raw application log data points to identify consumer patterns and failure rates. Automated data scraping, processing, and cleaning for faster analysis. โ€ข Automated scheduled functional and regression test runs to ensure consistent application stability.

Adityaโ€™s AI Stack

claude code
claude code
claude
claude
cursor
cursor
langgraph
langgraph
lovable
lovable
mistral
mistral

Education

Sir M Visvesvaraya Institute Of Technology

Bachelor of Engineering, Information Technology

Sir M Visvesvaraya Institute Of Technology

20164 yrs2020
Litera Valley School

AISSCE(CBSE - 12th), Science

Litera Valley School

20142 yrs2016

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Headline

Lead Engineer @ Asper.ai | ex - NewSpace Research, Danske Bank | Fullstack Engineer

About

I build software systems that solve complex real-world problems at scale. Over the past 6+ years, I've worked across fintech, AI, aerospace, and enterprise platforms, leading initiatives ranging from customer-facing applications used by millions to mission-critical systems powering autonomous drones and intelligent decision-making platforms. Currently, I work as a Senior Software Engineer, where I lead teams and drive the design and delivery of high-performance distributed systems, AI-powered products, and scalable cloud-native architectures. My experience spans backend engineering, full-stack development, cloud infrastructure, distributed systems, platform engineering, and technical leadership. Throughout my career, I've had the opportunity to: โ€ข Design and build large-scale software platforms serving global users โ€ข Lead engineering teams and mentor developers โ€ข Improve system performance, reliability, and operational excellence โ€ข Work on cutting-edge domains including AI, autonomous systems, and aerospace technologies โ€ข Translate complex business and technical challenges into practical, scalable solutions My core expertise includes: C#/.NET, Python(FastAPI, Flask), Java, TypeScript/React/React-Native, Cloud Architecture (Azure & AWS), Kubernetes, Distributed Systems, AI Applications, System Design, and Engineering Leadership. Long term, I'm passionate about building technology that pushes humanity forward. I'm particularly interested in artificial intelligence, autonomous systems, future technologies, and entrepreneurship. Always open to connecting with ambitious builders, engineers, founders, and people working on meaningful problems.

Location

Bengaluru

AI stack

claude code

claude

cursor

langgraph

lovable

mistral

Work experience

Lead Software Engineer at Asper.ai, Apr 2026 - Present ยท 5 mos, Bangalore Urban

Senior Software Engineer at Asper.ai, May 2024 - Apr 2026 ยท 2 yrs, Hybrid, ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ: Delivered high-performance, data-intensive software systems focused on real-time processing, scalable architectures, and significant performance enhancements for complex business-critical applications. ๐Š๐ž๐ฒ ๐‚๐จ๐ง๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐ข๐จ๐ง๐ฌ: โ€ข Engineered Role-Based Access Control (RBAC) for user-based authorization, enabling granular control over application features, sub-features, and data access. โ€ข Built a high-performance global search on a SaaS platform using Typesense, delivering sub-100ms results across tens of thousands of data elements. Enabled direct actions from search results (e.g., opening reports, generating insights) through end-to-end design and implementation across frontend, backend, infrastructure, and system design (HLD/LLD). โ€ข Led the development of high-impact full-stack applications, processing millions of data points at scale with a focus on performance, reliability, configurability, and scalability. โ€ข Led a team to improve system performance by 90% through deep analysis and optimization, including migrating to DuckDB for faster query response times, refactoring code, and enhancing efficiency with smart caching, vectorization, optimized asynchronous calls, and eliminating redundant computations. โ€ข Established a clean coding culture and unit testing framework, improving code quality, reducing bugs, and enhancing team productivity. ๐Š๐ž๐ฒ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: โ€ข Dynamic Demand Planner โ€” Full-stack application for dynamic demand forecasting and planning, processing millions of data points to optimize supply chain decisions with real-time analytics and actionable insights. โ€ข Enterprise RBAC System โ€” Fine-grained Role-Based Access Control framework for SaaS platforms, ensuring precise user permissions management across complex feature sets and data hierarchies.

SDE II at NewSpace Research and Technologies, Oct 2023 - May 2024 ยท 8 mos, Bengaluru, Karnataka, India, ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ: Delivered mission-critical UAV software systems that significantly enhanced autonomous navigation, operational reliability, advanced target detection capabilities, and fault tolerance for defense-grade autonomous drones. ๐Š๐ž๐ฒ ๐‚๐จ๐ง๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐ข๐จ๐ง๐ฌ: โ€ข Innovated the integration of advanced gimbal algorithms, including Gimbal control, Look-At Lat/Long, and velocity movement with failsafe mechanism significantly improving the overall operational efficiency and effectiveness, resulting in a 50% increase in UAV mission success rates. โ€ข Enhanced localization and perspective frame algorithms to achieve a 72% increase in accuracy for calculations of target points in UAV foraging tasks. โ€ข Pioneered the implementation of CI/CD build and release pipelines for all projects, including arm64 builds on custom server - a challenging task, automating 100% of the process and significantly reducing manual human effort while enhancing build maintainability. โ€ข Led the enablement of DLA (Deep Learning Accelerator) on edge computing devices(Jetson NX, AGX Orin etc) potentially increasing the frame rate of autonomous drones by 300%. ๐Š๐ž๐ฒ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: โ€ข Target Detection & Localization - Real-time system for autonomous UAVs enabling target detection, precise geolocation calculations, and mapping in complex, adversarial environments including GPS-denied zones. โ€ข Distributed Drone Intelligence - Swarm autonomy algorithms and systems for coordinated multi-UAV operations, facilitating collective decision-making and mission execution even in communication-contested environments.

Senior Software Engineer at Danske Bank, Apr 2023 - Oct 2023 ยท 7 mos, Bengaluru, Karnataka, India, โ€ข Designed and developed the full stack of Danske Bank's mobile app's 'Investment Management' portal, ensuring a seamless user experience on the front-end and efficient handling of investment-related functionalities on the back-end, boosting investment transactions by 40%. โ€ข Engineered ETL batch processes and an orchestrator with detailed optimization, enabling the system to seamlessly manage retrocession reconciliation tasks involving hundreds of millions in DKK while efficiently processing terabytes of data.

Software Engineer at Danske Bank, Oct 2021 - Apr 2023 ยท 1 yr 7 mos, Bangalore Urban, Karnataka, India, โ€ข Spearheaded the development of a comprehensive security library for authorization and authentication needs, implementing and integrating authentication protocols such as Kerberos, JWT, NTLM, ADFS, and scope validations across 20+ microservices and downstream services. โ€ข Constructed a robust & centralized rules engine framework that now manages and executes a diverse set of 500+ cost calculation rules, using a native rules priority algorithm, resulting in a significant increase in code reusability and flexibility. โ€ข Resolved technical debts through consolidation of caching, streamlined cost calculations, CPU and network optimization, business logic migration to a rules engine framework, and abstract factory versioning, resulting in a 30% system performance improvement with 99.99% reliability. โ€ข Optimized microservices for improved code readability, reduced API response times (>10%), and transformed monolithic architecture into a decoupled structure.

Associate Software Engineer at Danske Bank, Jul 2020 - Oct 2021 ยท 1 yr 4 mos, Bengaluru, Karnataka, India, โ€ข Designed, developed, tested, and maintained high-impact, high-performance full-stack applications from inception, handling over 1.5 million monthly pings in an agile environment. โ€ข Implemented anti-corruption layer batch processes to enhance API reliability and optimize data quality. โ€ข Analyzed and interpreted 9 million raw application log data points to identify consumer patterns and failure rates. Automated data scraping, processing, and cleaning for faster analysis. โ€ข Automated scheduled functional and regression test runs to ensure consistent application stability.

Education

Bachelor of Engineering, Information Technology, Sir M Visvesvaraya Institute Of Technology

AISSCE(CBSE - 12th), Science, Litera Valley School

Public links

github: https://github.com/adikeshri

adityakeshri.com: https://adityakeshri.com/