Albert M. profile photo 1 on Tal

Albert M.

Freelance - Backend and GenAI Developer | Engineering, Software Industry

Bengaluru

10+ years of work experience

NA
Oct 20223 yrs 11 mosPresent

India

Scalable Distributed Systems: Architected and deployed 15+ high-concurrency microservices using Java (Spring Boot) and Python (Django/FastAPI), consistently maintaining 99.99% uptime for global e-commerce and SaaS platforms. Performance Optimization: Boosted API throughput by 40% and reduced P99 latency by 200ms by implementing multi-level Redis caching and transitioning heavy workloads to asynchronous processing with Celery/RabbitMQ. Cloud Cost Efficiency: Engineered a migration of legacy monoliths to Docker/Kubernetes on AWS, utilizing auto-scaling groups and Spot instances to slash infrastructure overhead by 25%. Generative AI Implementation: Designed production-ready RAG pipelines using LangChain and Pinecone; optimized retrieval logic to reduce LLM hallucination rates by 35% while processing complex enterprise datasets. Code Quality & Leadership: Spearheaded the adoption of SOLID principles and automated CI/CD pipelines, reducing post-deployment bug reports by 30% and accelerating feature delivery cycles.
Evato India
May 20225 mosSep 2022

Remote

Architected a high-concurrency Estimated Delivery Time (EDT) engine for the Product Detail Page (PDP), integrating real-time inventory lookups across a distributed warehouse network for 4,000+ PIN codes. Engineered a multi-variable logistics optimization algorithm that programmatically evaluates delivery partners to minimize shipping costs while prioritizing the lowest delivery latency for the end-user. Developed a localized availability service that fetches real-time stock levels from the nearest fulfillment centers, reducing "out-of-stock" click-throughs and improving the accuracy of delivery promises. Performance Optimization & Scalability Optimized mission-critical SQL queries and indexing strategies, resulting in a 40–50% reduction in data retrieval latency and significantly improving the overall responsiveness of the backend services. Enhanced infrastructure efficiency by refactoring core algorithms, which eliminated the need for additional horizontal scaling during peak traffic periods and reduced cloud infrastructure overhead. Reduced server response times (p99 latency) during high-load events by streamlining database interactions and improving data-fetching logic across various microservices. Impact & Business Value Improved peak-load resilience of the backend ecosystem, allowing the system to handle significant traffic surges without performance degradation through algorithmic efficiency rather than hardware expansion. Strengthened the customer conversion funnel by providing accurate, real-time logistics data, contributing to a more seamless and transparent user experience on the product detail page.
O4S
May 20225 mosSep 2022

Remote

Same as in the parent Company Evato Tech.
Licious
Dec 20216 mosMay 2022

Remote

Architected and spearheaded a large-scale data migration from legacy relational MySQL systems to MongoDB, enabling the platform to handle a 40% increase in unstructured data growth for future product iterations. Engineered a resilient, high-throughput data pipeline using Kafka and Spring Boot, implementing an event-driven architecture to facilitate asynchronous data synchronization and processing. Optimized data ingestion performance by developing an intermediary Kafka consumer layer that handled 1M+ daily events, ensuring 99.9% data consistency during the transition from SQL to NoSQL. Reduced P95 read latency by 35% in MongoDB by designing and implementing strategic Composite Indices and custom document schemas, supporting low latency requirements for real-time inventory and sales tracking. Modernized internal modular JavaScript services using the Sails.js framework, transitioning monolithic scripts into maintainable, high-performance modules that improved developer velocity by 20%. Designed and deployed a "Meat-Subscription" Microservice for an e-commerce vertical, integrating real-time inventory updates and automated scheduling, which resulted in a 15% boost in customer retention through recurring delivery logic. Collaborated on end-to-end system reliability, implementing robust error-handling and dead-letter queues (DLQ) in Kafka to eliminate data loss during high-traffic flash sales.
Wakefit
Sep 20201 y 3 moDec 2021

India

Fulfillment & Logistics Expansion Orchestrated an end-to-end Order Management System (OMS) expansion for 6 new regional warehouses, automating the entire pipeline from SKU allotment to delivery partner assignment. Engineered a scalable fulfillment logic using Django and Python that synchronized warehouse inventory with logistics providers, increasing nationwide delivery capacity by 35%. Automated logistics workflows including intelligent packing-slip generation and address validation, reducing manual processing errors by 55% across new distribution centers. Logistics Optimization (EDT Engine) Architected a high-precision Estimated Delivery Time (EDT) engine that calculates real-time delivery windows based on geo-spatial data (Pincode) and warehouse proximity. Developed a multi-variable optimization algorithm to select delivery partners based on the "Least Cost, Minimum Time" (LCoMT) principle, significantly reducing last-mile delivery expenses. Boosted Product Detail Page (PDP) conversion rates by implementing a low-latency internal API that renders accurate delivery estimates in sub-200ms, improving the user decision-making journey. Internal Systems & Security (RBAC) Designed and implemented a granular Role-Based Access Control (RBAC) framework for the customer support ecosystem, managing authentication for hundreds of agents based on seniority and function. Strengthened data governance and security by architecting an authorization layer that restricted access to sensitive PII (Personally Identifiable Information), ensuring compliance with internal data privacy standards. Streamlined support operations by building customized dashboards for agents, reducing ticket resolution time through more efficient data access.
Media.net
Jul 20164 y 2 moSep 2020

Mumbai India

Albert’s AI Stack

antigravity
antigravity
gemini
gemini
opencode
opencode
claudecode
claudecode
ChatGPT
ChatGPT
GroqCloud
GroqCloud

Education

Guru Ghasidas University

Bachelor of Technology (B.Tech.), Computer Science

Guru Ghasidas University

20124 yrs2016

M.Tech, Computer Science

ISI, Kolkata

20162016

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Albert M. on Tal

Headline

Freelance - Backend and GenAI Developer | Engineering, Software Industry

About

A seasoned Developer who love to take full responsibility, and also a Team Player. I love building Robust and Fault Tolerant complex Systems which solves real world problems or cater the requirements of Client. Architecturing-HLD, LLD, writing quality code which is both Maintainable and follow industry standards (SOLID, Design Patterns, and Clean Code) along with the help of GenAI, is in my DNA. Apart from that writing Test Cases using Coding Agents to test a feature rigorously with 100% Code Coverage is my normal routine. Then final comes deployment, CI/CD and Logging/Monitoring at Scale in Distributed Architecture System excites me a lot. Building Agents to automate my workflows using the latest advancements in AI is something which has made my life so easy. If u need any advice or help feel free to reach out to me via DM. Also Open to new Opportunities in building the nextGen Tech using AI Agents and GenAI.

Location

Bengaluru

AI stack

antigravity

gemini

opencode

claudecode

ChatGPT

GroqCloud

Work experience

Freelance - Backend and GenAI Developer at NA, Oct 2022 - Present · 3 yrs 11 mos, India, Scalable Distributed Systems: Architected and deployed 15+ high-concurrency microservices using Java (Spring Boot) and Python (Django/FastAPI), consistently maintaining 99.99% uptime for global e-commerce and SaaS platforms. Performance Optimization: Boosted API throughput by 40% and reduced P99 latency by 200ms by implementing multi-level Redis caching and transitioning heavy workloads to asynchronous processing with Celery/RabbitMQ. Cloud Cost Efficiency: Engineered a migration of legacy monoliths to Docker/Kubernetes on AWS, utilizing auto-scaling groups and Spot instances to slash infrastructure overhead by 25%. Generative AI Implementation: Designed production-ready RAG pipelines using LangChain and Pinecone; optimized retrieval logic to reduce LLM hallucination rates by 35% while processing complex enterprise datasets. Code Quality & Leadership: Spearheaded the adoption of SOLID principles and automated CI/CD pipelines, reducing post-deployment bug reports by 30% and accelerating feature delivery cycles.

Senior Software Engineer at Evato India, May 2022 - Sep 2022 · 5 mos, Remote, Architected a high-concurrency Estimated Delivery Time (EDT) engine for the Product Detail Page (PDP), integrating real-time inventory lookups across a distributed warehouse network for 4,000+ PIN codes. Engineered a multi-variable logistics optimization algorithm that programmatically evaluates delivery partners to minimize shipping costs while prioritizing the lowest delivery latency for the end-user. Developed a localized availability service that fetches real-time stock levels from the nearest fulfillment centers, reducing "out-of-stock" click-throughs and improving the accuracy of delivery promises. Performance Optimization & Scalability Optimized mission-critical SQL queries and indexing strategies, resulting in a 40–50% reduction in data retrieval latency and significantly improving the overall responsiveness of the backend services. Enhanced infrastructure efficiency by refactoring core algorithms, which eliminated the need for additional horizontal scaling during peak traffic periods and reduced cloud infrastructure overhead. Reduced server response times (p99 latency) during high-load events by streamlining database interactions and improving data-fetching logic across various microservices. Impact & Business Value Improved peak-load resilience of the backend ecosystem, allowing the system to handle significant traffic surges without performance degradation through algorithmic efficiency rather than hardware expansion. Strengthened the customer conversion funnel by providing accurate, real-time logistics data, contributing to a more seamless and transparent user experience on the product detail page.

Senior Software Engineer at O4S, May 2022 - Sep 2022 · 5 mos, Remote, Same as in the parent Company Evato Tech.

Software Developer at Licious, Dec 2021 - May 2022 · 6 mos, Remote, Architected and spearheaded a large-scale data migration from legacy relational MySQL systems to MongoDB, enabling the platform to handle a 40% increase in unstructured data growth for future product iterations. Engineered a resilient, high-throughput data pipeline using Kafka and Spring Boot, implementing an event-driven architecture to facilitate asynchronous data synchronization and processing. Optimized data ingestion performance by developing an intermediary Kafka consumer layer that handled 1M+ daily events, ensuring 99.9% data consistency during the transition from SQL to NoSQL. Reduced P95 read latency by 35% in MongoDB by designing and implementing strategic Composite Indices and custom document schemas, supporting low latency requirements for real-time inventory and sales tracking. Modernized internal modular JavaScript services using the Sails.js framework, transitioning monolithic scripts into maintainable, high-performance modules that improved developer velocity by 20%. Designed and deployed a "Meat-Subscription" Microservice for an e-commerce vertical, integrating real-time inventory updates and automated scheduling, which resulted in a 15% boost in customer retention through recurring delivery logic. Collaborated on end-to-end system reliability, implementing robust error-handling and dead-letter queues (DLQ) in Kafka to eliminate data loss during high-traffic flash sales.

Software Engineer at Wakefit, Sep 2020 - Dec 2021 · 1 y 3 mo, India, Fulfillment & Logistics Expansion Orchestrated an end-to-end Order Management System (OMS) expansion for 6 new regional warehouses, automating the entire pipeline from SKU allotment to delivery partner assignment. Engineered a scalable fulfillment logic using Django and Python that synchronized warehouse inventory with logistics providers, increasing nationwide delivery capacity by 35%. Automated logistics workflows including intelligent packing-slip generation and address validation, reducing manual processing errors by 55% across new distribution centers. Logistics Optimization (EDT Engine) Architected a high-precision Estimated Delivery Time (EDT) engine that calculates real-time delivery windows based on geo-spatial data (Pincode) and warehouse proximity. Developed a multi-variable optimization algorithm to select delivery partners based on the "Least Cost, Minimum Time" (LCoMT) principle, significantly reducing last-mile delivery expenses. Boosted Product Detail Page (PDP) conversion rates by implementing a low-latency internal API that renders accurate delivery estimates in sub-200ms, improving the user decision-making journey. Internal Systems & Security (RBAC) Designed and implemented a granular Role-Based Access Control (RBAC) framework for the customer support ecosystem, managing authentication for hundreds of agents based on seniority and function. Strengthened data governance and security by architecting an authorization layer that restricted access to sensitive PII (Personally Identifiable Information), ensuring compliance with internal data privacy standards. Streamlined support operations by building customized dashboards for agents, reducing ticket resolution time through more efficient data access.

Application Engineer at Media.net, Jul 2016 - Sep 2020 · 4 y 2 mo, Mumbai India

Education

Bachelor of Technology (B.Tech.), Computer Science, Guru Ghasidas University

M.Tech, Computer Science, ISI, Kolkata

Public links

github: https://github.com/albertin0

leetcode: https://leetcode.com/albertino1903

Albert M. - Freelance - Backend and GenAI Developer in Bengaluru | Tal