Nitish Agrahari

Software Engineer

Gurugram, Haryana, India4 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable, fault-tolerant systems.
Led AI integration for enhanced e-commerce insights.
Proven track record in optimizing performance and reducing costs.

Stackforce AI infers this person is a Backend-focused engineer with expertise in SaaS and E-commerce solutions.

Contact

nitishagrahari12@gmail.com LinkedIn

Skills

Core Skills

GolangKafkaNodejsAiComplianceNode.jsSqlRefactoringRedis

Other Skills

ElasticSearchMongoDBWeaviateData SecurityDockerAWSSecurityWebSocketsTypeScriptBack-End Web DevelopmentAmazon EKSConcurrent ProgrammingLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Vector Databases

About

Building with Golang, Nodejs, MySQL, MongoDB, Elastic search, Kafka, AWS and managing platform with more than ~500M reqs/month. Expertise in designing scalable, low latency, fault tolerant distributed systems. Mentored junior engineers, code review, LLDs / HLDs, proactively contributed to system scalability and leveraging AI to improve productivity. 🛠️ Technical Toolkit Languages: Golang • TypeScript • C/C++ Frameworks: Gin (Go) • NestJS Databases: SQL • MongoDB • ElasticSearch • Redis Vector Stores: Weaviate Event Streaming: Apache Kafka • AWS SQS Monitoring: NewRelic • Grafana • CubeAPM DevOps & Cloud: AWS • Docker • Kubernetes • Jenkins Github: https://github.com/nitagr

Experience

4 yrs 10 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 5 mos

Current Experience

Shiprocket

Software Engineer

Jan 2024 – Present · 2 yrs 5 mos · India · On-site

Built an event-driven address deduplication pipeline in Golang + Kafka (1M requests/day) using Levenshtein distance for fuzzy matching and path-compression for hierarchical mapping — reducing data size from 1.1 TB → 650 GB and improving customer-facing performance.
Engineered and launched an API platform (20M requests/day) with dynamic slab-based pricing, rate limiting, and access control; implemented real-time usage tracking and billing management — sustaining 10,000 RPM at p99 latency < 90ms.
Spearheaded an AI-powered e-commerce trends engine integrating OpenAI & Mistral LLMs with Weaviate (Vector DB) for semantic search — achieving ∼95% accuracy in NLP parameter extraction, product/category recommendations, and city/state typo correction.
Architected a centralized consent management framework compliant with DPDP regulations, including a robust audit trail for secure data access and permission tracking.
Golang, NodeJS, MongoDB,Redis, Kafka, ElasticSearch, SQL, Redis, Weaviate - VectorDB

GolangKafkaElasticSearchMongoDBRedisSQL

Policybazaar.com

2 roles

SDE II (Senior Technical Associate)

Promoted

Apr 2023 – Dec 2023 · 8 mos

Engineered a dynamic Rule Engine for sales advisor incentive calculation, enabling business teams to create and modify rules - eliminating 95% of manual operational overhead, and maintaining 99% accuracy.
Modernized legacy applications by upgrading frameworks, refactoring core modules, and resolving critical security vulnerabilities and memory leaks — improving system stability and maintainability.
Optimized SQL query performance, achieving a 60% reduction in execution time through query restructuring, indexing strategies, and elimination of N+1 patterns.
Improved log delivery at scale by integrating Amazon SQS, implementing rate limiting, and building a real-time monitoring dashboard using Redis & WebSockets for live operational visibility.
Architected and built a scalable, product-agnostic dynamic growth calculator for the JAG 3.0 contest - implementing a unified slab-based reward engine that processes large booking datasets to project incentive payouts.
Node.js, Express, MongoDB, SQL, Redis, Docker, AWS, Athena, SQS

Node.jsSQLRedisDockerAWS