NITESH GUPTA

Backend Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Key Highlights

Expert in Backend Development with diverse tech stack.
Proven track record in improving system efficiency.
Strong experience in microservices architecture.

Stackforce AI infers this person is a Backend Engineer with expertise in SaaS and microservices architecture.

Contact

niteshguptaktl9@gmail.com 9521419617 LinkedIn

Skills

Core Skills

ScalaJavaKotlin

Other Skills

AWSAmazon DynamoDBAmazon SQSApache FlinkApache KafkaClickHouseData StructuresDatadogDynamoDBELKElasticsearchGrafanaHarnessKafkaKtor

About

Software Engineer with 3 year's of experience. Skilled in Backend Development, Computer Science Fundamentals and Data Structures/Algorithms. Experienced with Microservices, Scala, Java, Kotlin, Ktor, C++, SQS, Postgres DB, DynamoDb, MongoDB, Clickhouse, Kafka

Experience

Bazaarvoice

Senior Backend Engineer

Nov 2024 – Present · 1 yr 4 mos · Bangalore Urban, Karnataka, India · Hybrid

◦ Built and launched the Social Inbox for Instagram and TikTok, enabling brands to manage 100K+ monthly interactions, including DMs, Comments, and Mentions, from a single dashboard.
◦ Enabled multi-handle Instagram integration, allowing unified message management across 50+ brand
handles, improving response efficiency by 30%.
◦ Engineered a TikTok data miner to backfill historical content and engagement metrics during onboarding, reducing client setup time by 70% and ensuring immediate data readiness.
◦ Implemented a request-and-track system for usage rights on user-generated content (UGC), enabling compliant reuse of 10K+ assets annually across marketing campaigns.
◦ Tech Stack: Scala, Java, Finatra, PostgreSQL, DynamoDB, AWS (Lambda, S3, SQS, Kinesis), Instagram
Graph API, TikTok API, Kafka, Datadog

ScalaJavaAmazon DynamoDBPostgreSQLAmazon SQSElasticsearch+1

Coffeee.io

Software Developer

Jun 2023 – Jul 2024 · 1 yr 1 mo · Gurugram, Haryana, India · On-site

◦ Built a Resume–Job Description matching system, improving candidate–job relevance and reducing recruiter screening time by 30%.
◦ Created dynamic boilerplate templates in 10+ programming languages, standardizing I/O formats and reducing assessment setup time by 40%.
◦ Integrated real-time skill-based question generation using OpenAI APIs, enhancing candidate evaluation accuracy and reducing manual intervention by 50%.
◦ Refactored and migrated critical core scripts from Python to Java, resulting in 2x performance improvement and higher code maintainability.
◦ Tech Stack: Java, Spring Boot, Selenium, MongoDB, PostgreSQL, AWS (SQS)

JavaAmazon SQSApache KafkaPostgreSQLMongoDB

Koo india

2 roles

SDE 1 - BackEnd

Promoted

Jul 2022 – Jun 2023 · 11 mos · Bangalore Urban, Karnataka, India

Part of 3‑member Notification Platform
Uses different channels to serve notifications (notifs) ‑ FCM, WhatsApp, Route SMS and MoEngage, >100 million/day; Peak (140 mil)
Migrated from a monolith system to event‑driven services (SQS) ‑ which improved reliability and scalability.
Improved fanout time for different notifications ‑ Real time reactions (from 5 min to <20 sec), Content notifs(from> 60 min to <15 min), Crons
Worked on app facing services for notifs ‑ Panel (5k RPM, 100ms), Notif‑analytics ‑ (15k RPM, 20ms)
Worked on reducing SQS costs and IO calls by implementing an in‑memory cache
Implemented a tiered retry pipeline for Notification Engine
Handled duplicate external triggers for notifs using Mongo/BloomFilter
Worked on Flink streaming based real time notifs ‑ Hashtags, Comments after comments
Worked on migrating notif analytics, stats to Clickhouse
Handled timezone/country specific system notifs using Jenkins
Tech ‑ Kotlin, Ktor, MongoDB, Postgres, ClickHouse, AWS(SQS), Jenkins, Grafana + Prometheus, ELK, Kubernetes, Kafka