Lakshay Duggal profile photo 1 on Tal

Lakshay Duggal

Software Engineer 3 at Clear

Delhi

10+ years of work experience

Clear
Apr 20233 yrs 5 mosPresent

Bengaluru, Karnataka, India

Clear
Jan 20215 yrs 8 mosPresent

AI Document Processing Platform: Built from scratch a high-throughput document processing system using Temporal workflows andGPT-4/LLMs. EnabledAI-powered Capital Gains parsing for any broker format. Achieved 80-100 docs/min throughput, P99 latency 2-3s, event loop lag <5ms. Load tested up to 100 RPS using Locust. Tax Calculation Engine: Designed scalable microservices for end-to-end ITR automation handling millions of tax calculations. Built RESTful APIs for tax data submission to ITD and automated ITR filing for users. AELMS (AI-Powered Exception Lifecycle System): Architected intelligent exception handling platform using LLM-based error classification and AI-generated fix suggestions. Built smart retry systemwith fingerprint-based deduplication. Impact: 60% reduction in support tickets, resolution time from 48-72 hrs to <4 hrs (12-18x faster), 100% user visibility (was 0%), auto-retry for all affected users on fix deployment. Browser Automation Service: Built BrowserBase-powered automation for broker statement downloads (Zerodha, etc.), eliminating invalid report uploads. Integrated with document processor for automatic parsing. GraphQL& .NET 9Upgrade: Led platform upgrade from .NET 6 to .NET 9, GraphQL 4.x to 8.6.0 across 867 files. Achieved 4x GraphQL response improvement (2-3s to 600-700ms), validation time reduced from 927ms to 40ms (23x faster), parallelized DB operations reducing latency by 60%. Observability &Monitoring: Establishedmonitoring stack usingGrafana, CubeAPM, and Coralogix for distributed tracing and alerting across microservices. AI Adoption & Leadership: Driving AI revolution across the team - mentoring junior developers on AI tools (Claude, GPT-4, Copilot), prompt engineering, and integrating LLMs into development workflows.
Clear
Jan 20212 yrs 3 mosMar 2023

Bangalore Urban, Karnataka, India

Vital
Aug 20206 mosJan 2021

Delhi, India

Vital
Dec 20182 yrs 1 moDec 2020

First engineering hire - built entire backend infrastructure from scratch using Django REST Framework, serving 10,000+ userswith 99.5% uptime. Architected database schema andmicroservices handling 500+ daily policy transactions. Load tested APIs to 50 RPSwith P95 latency <200ms. Built RESTful APIs for user management, policy creation, claims and payment processing.
Vital
Dec 20181 yr 1 moDec 2019

New Delhi Area, India

MAQ Software
Jul 20162 yrs 5 mosNov 2018

Developed Azure web applications using ASP.NETMVC and Azure services (Blob Storage, SQLDatabase, Key Vault) for 3 enterprise clients, delivering solutions handling 1M+ records.
MAQ
Jun 20162 yrs 6 mosNov 2018

Lakshay’s AI Stack

claude code
claude code
claude
claude
codex
codex
cursor
cursor
claudecode
claudecode
Browserbase
Browserbase

Education

Bachelor of Technology (BTech), Computer Science

Delhi Technological University

20124 yrs2016
DTU Aqua

Bachelor of Technology, Computational Science

DTU Aqua

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Headline

Software Engineer 3 at Clear

About

Responsible for designing REST APIs in DRF. Worked on onboarding users using JWT and Django Permissions for authentication and authorization. Integrated with external APIs to assess credit eligibility and draw-down of credit for a user.Handled payment gateway integration with Razorpay , user subscriptions,offers and vouchers. Developed a platform enabling group health care solutions for corporates. Worked in developing Azure Web app to facilitate searching of keywords in Text using ASP.net with integration of Azure resources such as Application Insights,Redis Cache , Cosmos DB etc.

Location

Delhi

AI stack

claude code

claude

codex

cursor

claudecode

Browserbase

Work experience

Software Engineer 3 at Clear, Apr 2023 - Present · 3 yrs 5 mos, Bengaluru, Karnataka, India

Software Engineer at Clear, Jan 2021 - Present · 5 yrs 8 mos, AI Document Processing Platform: Built from scratch a high-throughput document processing system using Temporal workflows andGPT-4/LLMs. EnabledAI-powered Capital Gains parsing for any broker format. Achieved 80-100 docs/min throughput, P99 latency 2-3s, event loop lag <5ms. Load tested up to 100 RPS using Locust. Tax Calculation Engine: Designed scalable microservices for end-to-end ITR automation handling millions of tax calculations. Built RESTful APIs for tax data submission to ITD and automated ITR filing for users. AELMS (AI-Powered Exception Lifecycle System): Architected intelligent exception handling platform using LLM-based error classification and AI-generated fix suggestions. Built smart retry systemwith fingerprint-based deduplication. Impact: 60% reduction in support tickets, resolution time from 48-72 hrs to <4 hrs (12-18x faster), 100% user visibility (was 0%), auto-retry for all affected users on fix deployment. Browser Automation Service: Built BrowserBase-powered automation for broker statement downloads (Zerodha, etc.), eliminating invalid report uploads. Integrated with document processor for automatic parsing. GraphQL& .NET 9Upgrade: Led platform upgrade from .NET 6 to .NET 9, GraphQL 4.x to 8.6.0 across 867 files. Achieved 4x GraphQL response improvement (2-3s to 600-700ms), validation time reduced from 927ms to 40ms (23x faster), parallelized DB operations reducing latency by 60%. Observability &Monitoring: Establishedmonitoring stack usingGrafana, CubeAPM, and Coralogix for distributed tracing and alerting across microservices. AI Adoption & Leadership: Driving AI revolution across the team - mentoring junior developers on AI tools (Claude, GPT-4, Copilot), prompt engineering, and integrating LLMs into development workflows.

Software Engineer 2 at Clear, Jan 2021 - Mar 2023 · 2 yrs 3 mos, Bangalore Urban, Karnataka, India

Senior Software Engineer at Vital, Aug 2020 - Jan 2021 · 6 mos, Delhi, India

Senior Software Engineer at Vital, Dec 2018 - Dec 2020 · 2 yrs 1 mo, First engineering hire - built entire backend infrastructure from scratch using Django REST Framework, serving 10,000+ userswith 99.5% uptime. Architected database schema andmicroservices handling 500+ daily policy transactions. Load tested APIs to 50 RPSwith P95 latency <200ms. Built RESTful APIs for user management, policy creation, claims and payment processing.

Software Developer at Vital, Dec 2018 - Dec 2019 · 1 yr 1 mo, New Delhi Area, India

Software Engineer at MAQ Software, Jul 2016 - Nov 2018 · 2 yrs 5 mos, Developed Azure web applications using ASP.NETMVC and Azure services (Blob Storage, SQLDatabase, Key Vault) for 3 enterprise clients, delivering solutions handling 1M+ records.

Software Engineer 2 at MAQ, Jun 2016 - Nov 2018 · 2 yrs 6 mos

Education

Bachelor of Technology (BTech), Computer Science, Delhi Technological University

Bachelor of Technology, Computational Science, DTU Aqua