Saksham Sharma profile photo 1 on Tal

Saksham Sharma

Senior Software Engineer @ Nielsen | Ex - Razorpay | Architectural Design, LLM

Bengaluru

4+ years of work experience

Nielsen
Jul 20251 yr 3 mosPresent

Bengaluru

Key Impact: Spearheading the integration of Generative AI into core media data pipelines and modernizing legacy backend architectures to handle global-scale data ingestion. High-Performance Microservices: Led the strategic rewrite of critical backend services into Go (Golang), resulting in a 20% reduction in service latency and maintaining 99.99% availability for mission-critical media streams. Infrastructure & Scalability: Unified disparate provider data architectures into a normalized ingestion layer, contributing to a 60% reduction in integration turnaround time for new third-party data providers. Technical Leadership: Driving a team-wide transition toward Test-Driven Development (TDD) and CI/CD best practices, ensuring zero-incident deployments for complex features including OpenSearch integration and large-scale metadata restructuring. Tech Stack: Go (Golang), Python, Llama 3, BERT, RAG (LangChain/ChromaDB), OpenSearch, AWS, Docker, SQLAlchemy.
Razorpay
Aug 20241 yrJul 2025

Bengaluru

Technical Highlights: Built and scaled backend microservices using Go, PostgreSQL, Redis, and SQS to support high-volume transaction workflows and internal dispute systems. Designed and deployed daily cron jobs for automated case validation and correction, significantly reducing manual effort and human errors. Integrated Celery task queues with internal finance APIs to automate fee debits for Arbitration and Pre-Arbitration stages, ensuring accurate billing. Developed a proof of concept for the decomposition of Razorpay's Dispute monolith into microservices using API-first design principles and Redis-based messaging queues. Set up background job pipelines to detect and auto-correct invalid or mismatched dispute fields, improving system data hygiene and auditability. Business Outcomes: Resolved a ₹85 lakh money loss bug in the first week by tracing inconsistencies in reconciliation logic and implementing a durable fix. Saved over ₹1 crore annually by automating fee debit operations, eliminating reliance on manual processes and reducing financial leakage. Reduced dispute resolution time and internal escalations through proactive validations, improving internal SLAs and operational efficiency
Wakefit
Jul 20222 yrs 2 mosAug 2024

Bengaluru

Technical Highlights: Led backend ownership of key modules including Stocks, Logistics, and Retail, architecting scalable APIs and internal tools using Python, Django, Celery, and PostgreSQL. Integrated the Shipsy logistics platform from scratch, handling REST API integration, webhook processing, and delivery tracking updates. Reduced latency of the homepage stock check API by 20% using multi-threading, Redis caching, and SQL query optimization. Built automation pipelines for retail sheet uploads using Pandas, Celery, and Cerberus-based validation, enabling bulk processing and error tracking. Migrated the core backend from Django 2.1.7 to 2.2, refactoring legacy code and resolving package-level compatibility issues. Optimized backend performance by reducing redundant API calls and introducing batch DB operations like bulk_create() and prefetch_related. Business Outcomes: Achieved a 95% reduction in manual effort for retail operations by automating Excel-based workflows for internal teams. Contributed to a 30% increase in operational productivity through performance improvements, integrations, and process automation. Improved customer experience and delivery accuracy by streamlining logistics data flow and improving stock sync reliability. Received the top annual performance rating during the entire tenure, awarded to the top-performing engineers quarterly.
Wakefit
Jan 20226 mosJun 2022

Saksham’s AI Stack

cursor
cursor
kiro
kiro
claudecode
claudecode
githubcopilot
githubcopilot
Chroma
Chroma
DSPy
DSPy

Education

The LNM Institute of Information Technology

Bachelor of Technology - BTech, Engineering

The LNM Institute of Information Technology

20184 yrs2022

High School

Jawaharlal Nehru School , Bhopal

200512 yrs2017

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Headline

Senior Software Engineer @ Nielsen | Ex - Razorpay | Architectural Design, LLM

About

Enthusiastic in Coding and eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of different programming languages and data structures . Motivated to learn, grow and excel in Software Industry. Experienced in Marketing with over 3 years of experience in College Fest as head and ASME Lnmiit . Excellent reputation for resolving problems and driving overall operational improvements.

Location

Bengaluru

AI stack

cursor

kiro

claudecode

githubcopilot

Chroma

DSPy

Work experience

Senior Software Engineer at Nielsen, Jul 2025 - Present · 1 yr 3 mos, Bengaluru, Key Impact: Spearheading the integration of Generative AI into core media data pipelines and modernizing legacy backend architectures to handle global-scale data ingestion. High-Performance Microservices: Led the strategic rewrite of critical backend services into Go (Golang), resulting in a 20% reduction in service latency and maintaining 99.99% availability for mission-critical media streams. Infrastructure & Scalability: Unified disparate provider data architectures into a normalized ingestion layer, contributing to a 60% reduction in integration turnaround time for new third-party data providers. Technical Leadership: Driving a team-wide transition toward Test-Driven Development (TDD) and CI/CD best practices, ensuring zero-incident deployments for complex features including OpenSearch integration and large-scale metadata restructuring. Tech Stack: Go (Golang), Python, Llama 3, BERT, RAG (LangChain/ChromaDB), OpenSearch, AWS, Docker, SQLAlchemy.

Software Engineer at Razorpay, Aug 2024 - Jul 2025 · 1 yr, Bengaluru, Technical Highlights: Built and scaled backend microservices using Go, PostgreSQL, Redis, and SQS to support high-volume transaction workflows and internal dispute systems. Designed and deployed daily cron jobs for automated case validation and correction, significantly reducing manual effort and human errors. Integrated Celery task queues with internal finance APIs to automate fee debits for Arbitration and Pre-Arbitration stages, ensuring accurate billing. Developed a proof of concept for the decomposition of Razorpay's Dispute monolith into microservices using API-first design principles and Redis-based messaging queues. Set up background job pipelines to detect and auto-correct invalid or mismatched dispute fields, improving system data hygiene and auditability. Business Outcomes: Resolved a ₹85 lakh money loss bug in the first week by tracing inconsistencies in reconciliation logic and implementing a durable fix. Saved over ₹1 crore annually by automating fee debit operations, eliminating reliance on manual processes and reducing financial leakage. Reduced dispute resolution time and internal escalations through proactive validations, improving internal SLAs and operational efficiency

Software Engineer at Wakefit, Jul 2022 - Aug 2024 · 2 yrs 2 mos, Bengaluru, Technical Highlights: Led backend ownership of key modules including Stocks, Logistics, and Retail, architecting scalable APIs and internal tools using Python, Django, Celery, and PostgreSQL. Integrated the Shipsy logistics platform from scratch, handling REST API integration, webhook processing, and delivery tracking updates. Reduced latency of the homepage stock check API by 20% using multi-threading, Redis caching, and SQL query optimization. Built automation pipelines for retail sheet uploads using Pandas, Celery, and Cerberus-based validation, enabling bulk processing and error tracking. Migrated the core backend from Django 2.1.7 to 2.2, refactoring legacy code and resolving package-level compatibility issues. Optimized backend performance by reducing redundant API calls and introducing batch DB operations like bulk_create() and prefetch_related. Business Outcomes: Achieved a 95% reduction in manual effort for retail operations by automating Excel-based workflows for internal teams. Contributed to a 30% increase in operational productivity through performance improvements, integrations, and process automation. Improved customer experience and delivery accuracy by streamlining logistics data flow and improving stock sync reliability. Received the top annual performance rating during the entire tenure, awarded to the top-performing engineers quarterly.

Software Engineer Intern at Wakefit, Jan 2022 - Jun 2022 · 6 mos

Education

Bachelor of Technology - BTech, Engineering, The LNM Institute of Information Technology

High School, Jawaharlal Nehru School , Bhopal