Shashank Shekhar profile photo 1 on Tal

Shashank Shekhar

Backend Tech Lead | Distributed Systems & System Design | Python · Django · PostgreSQL | Fintech / WealthTech | AI/LLM · RAG

Bengaluru

7+ years of work experience

GoalTeller
Oct 20233 yrsPresent

Greater Bengaluru Area

Lead backend architecture and engineering delivery for a wealth-management platform supporting 1,000+ users and ₹3,500+ crore in portfolio assets across retail, HNI, and family-office use cases. • Lead a 4-engineer team across system design, feature planning, task allocation, engineering reviews, code reviews, production decisions, and backend delivery. • Architected investment-processing and portfolio-calculation systems capable of handling accounts with 50,000+ transactions and ~25 years of historical NAV and transaction data. • Designed and operated Celery, RabbitMQ, and Redis-based distributed processing pipelines for portfolio recomputation, including per-user workload fan-out, distributed locking, duplicate suppression, retries, failure persistence, and operational alerting. • Resolved database saturation caused by large concurrent calculation workloads through concurrency controls, horizontal scaling, and calculation/data-processing optimizations. • Identified and eliminated O(n²) transaction-matching bottleneck by introducing precomputed lookup structures, enabling O(1) per-transaction matching after setup. • Led the architecture and implementation required to evolve a retail-first product for family-office use cases, including portfolio aggregation, bulk investment ingestion, access control, reporting, and complex investment structures. • Led infrastructure optimization and production right-sizing initiatives that reduced infrastructure costs by ~60% while maintaining reliability. • Lead the development of AI-powered financial intelligence capabilities involving agentic workflows, RAG, natural-language portfolio querying, NL-to-SQL, document intelligence, and MCP-based integrations. • Designed and owned integrations with MF Central, BSE Star MF, and Finvu for investment execution, mutual-fund operations, and financial-data aggregation.
GoalTeller
Apr 20221 yr 7 mosOct 2023

Bengaluru, Karnataka, India

Transitioned from full-stack development into backend ownership, building core services for investment processing, portfolio holdings, financial calculations, and investment-data reconciliation. • Built and maintained Django/DRF services and APIs supporting core wealth-management workflows. • Developed backend systems for investment ingestion, holdings processing, financial calculations, and scheme matching. • Worked extensively with PostgreSQL and Django ORM on data-intensive financial workloads. • Helped decompose large backend modules into maintainable domain-oriented services as the platform and product complexity grew. • Built integrations and data-processing workflows across multiple investment products and external financial-data sources.
GoalTeller
Oct 20201 yr 7 mosApr 2022

Bengaluru, Karnataka, India

Built web and mobile wealth-management features across frontend and backend systems, with increasing ownership of backend-heavy product modules. • Developed Django REST APIs and financial-product workflows. • Built user-facing wealth-management features across web/mobile applications. • Worked on investment and financial-calculation modules before progressively transitioning into dedicated backend ownership. • Collaborated closely with product and business teams in an early-stage fintech environment, contributing across the product-development lifecycle.
DXC Technology
Aug 20191 yr 3 mosOct 2020

bangalore

Developed mobile and web applications along with cloud-based backend components. • Built React Native mobile applications and Angular dashboards. • Developed RESTful backend components using AWS Lambda and API Gateway. • Worked with AWS services including DynamoDB, S3, and RDS. • Contributed across frontend, backend, and cloud components in production software projects.
Hewlett Packard Enterprise
Jan 20197 mosJul 2019

Bengaluru, Karnataka, India

Contributed to firmware tooling for HPE Superdome systems, including development of a CLI used to configure telemetry-data flow.

Shashank’s AI Stack

claude code
claude code
claude
claude
hugging face
hugging face
langchain
langchain
mcp
mcp

Education

Bachelor of Engineering - BE, Electrical and Electronics Engineering

R. V. College of Engineering, Bangalore

20154 yrs2019

Join Shashank and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Shashank Shekhar on Tal

Headline

Backend Tech Lead | Distributed Systems & System Design | Python · Django · PostgreSQL | Fintech / WealthTech | AI/LLM · RAG

About

I’m a Backend Tech Lead with 7 years of software engineering experience, focused on building and scaling fintech and wealth-management systems. At GoalTeller, I lead a 4-engineer team and own backend architecture, system design, technical planning, production reliability, and delivery for a wealth-management platform supporting 1,000+ users and ₹3,500+ crore in portfolio assets. My work sits at the intersection of distributed backend systems, financial data processing, and product engineering. I’ve designed systems that process investment accounts with 50,000+ transactions and ~25 years of historical data, built distributed portfolio-calculation pipelines using Celery, RabbitMQ and Redis, and worked extensively on PostgreSQL performance, concurrency, reliability and data correctness. I’ve also led the evolution of our platform from primarily retail wealth management to supporting HNI and family-office use cases, including portfolio aggregation, complex investment structures, bulk data processing, reporting and access control. On the infrastructure side, I led optimization and production-right-sizing initiatives that reduced infrastructure costs by ~60% while maintaining application reliability. More recently, I’ve been leading and contributing hands-on to AI-powered financial intelligence initiatives involving RAG, agentic workflows, natural-language portfolio querying, NL-to-SQL, document intelligence and MCP integrations. Core technologies: Python, Django/DRF, PostgreSQL, Celery, RabbitMQ, Redis, Elasticsearch, AWS and Docker. I’m particularly interested in engineering problems involving system design, distributed processing, performance, financial data and applied AI.

Location

Bengaluru

AI stack

claude code

claude

hugging face

langchain

mcp

Work experience

Lead Developer / Backend Tech Lead at GoalTeller, Oct 2023 - Present · 3 yrs, Greater Bengaluru Area, Lead backend architecture and engineering delivery for a wealth-management platform supporting 1,000+ users and ₹3,500+ crore in portfolio assets across retail, HNI, and family-office use cases. • Lead a 4-engineer team across system design, feature planning, task allocation, engineering reviews, code reviews, production decisions, and backend delivery. • Architected investment-processing and portfolio-calculation systems capable of handling accounts with 50,000+ transactions and ~25 years of historical NAV and transaction data. • Designed and operated Celery, RabbitMQ, and Redis-based distributed processing pipelines for portfolio recomputation, including per-user workload fan-out, distributed locking, duplicate suppression, retries, failure persistence, and operational alerting. • Resolved database saturation caused by large concurrent calculation workloads through concurrency controls, horizontal scaling, and calculation/data-processing optimizations. • Identified and eliminated O(n²) transaction-matching bottleneck by introducing precomputed lookup structures, enabling O(1) per-transaction matching after setup. • Led the architecture and implementation required to evolve a retail-first product for family-office use cases, including portfolio aggregation, bulk investment ingestion, access control, reporting, and complex investment structures. • Led infrastructure optimization and production right-sizing initiatives that reduced infrastructure costs by ~60% while maintaining reliability. • Lead the development of AI-powered financial intelligence capabilities involving agentic workflows, RAG, natural-language portfolio querying, NL-to-SQL, document intelligence, and MCP-based integrations. • Designed and owned integrations with MF Central, BSE Star MF, and Finvu for investment execution, mutual-fund operations, and financial-data aggregation.

Backend Developer at GoalTeller, Apr 2022 - Oct 2023 · 1 yr 7 mos, Bengaluru, Karnataka, India, Transitioned from full-stack development into backend ownership, building core services for investment processing, portfolio holdings, financial calculations, and investment-data reconciliation. • Built and maintained Django/DRF services and APIs supporting core wealth-management workflows. • Developed backend systems for investment ingestion, holdings processing, financial calculations, and scheme matching. • Worked extensively with PostgreSQL and Django ORM on data-intensive financial workloads. • Helped decompose large backend modules into maintainable domain-oriented services as the platform and product complexity grew. • Built integrations and data-processing workflows across multiple investment products and external financial-data sources.

Full-stack Developer at GoalTeller, Oct 2020 - Apr 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India, Built web and mobile wealth-management features across frontend and backend systems, with increasing ownership of backend-heavy product modules. • Developed Django REST APIs and financial-product workflows. • Built user-facing wealth-management features across web/mobile applications. • Worked on investment and financial-calculation modules before progressively transitioning into dedicated backend ownership. • Collaborated closely with product and business teams in an early-stage fintech environment, contributing across the product-development lifecycle.

Associate Professional Software Engineer at DXC Technology, Aug 2019 - Oct 2020 · 1 yr 3 mos, bangalore, Developed mobile and web applications along with cloud-based backend components. • Built React Native mobile applications and Angular dashboards. • Developed RESTful backend components using AWS Lambda and API Gateway. • Worked with AWS services including DynamoDB, S3, and RDS. • Contributed across frontend, backend, and cloud components in production software projects.

Research And Development Intern at Hewlett Packard Enterprise, Jan 2019 - Jul 2019 · 7 mos, Bengaluru, Karnataka, India, Contributed to firmware tooling for HPE Superdome systems, including development of a CLI used to configure telemetry-data flow.

Education

Bachelor of Engineering - BE, Electrical and Electronics Engineering, R. V. College of Engineering, Bangalore