Shubham Gupta

AI Researcher

Bengaluru, Karnataka, India3 yrs 9 mos experience

Key Highlights

Expert in backend development and microservices optimization.
Proven track record in building scalable ML platforms.
Strong experience in data-driven analytics solutions.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Travel Tech industries.

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Skills

Core Skills

Server Side ProgrammingFastapiBackend DevelopmentData AnalyticsMicroservices

Other Skills

Amazon Web Services (AWS)Apache KafkaBack-End Web DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)ClickHouseCompetitive ProgrammingComputer ScienceCore JavaDatabasesDockerElastic Stack (ELK)ElasticsearchExpress.js

About

Graduated with a BTech in Information Technology from Bundelkhand Institute of Engineering and Technology, Jhansi, in 2022. Currently employed as a Software Engineer at Tekion Corp. Previously contributed to tiket.com's backend systems, focusing on managing and optimizing microservices across diverse verticals such as Flights, Hotels, and Events. Skilled in backend development with expertise in server-side programming, FastAPI, and integrating monitoring tools like Grafana and Sentry. Dedicated to enhancing system performance and scalability, with a strong foundation in transitioning technologies and improving observability. Passionate about driving impactful contributions to technological solutions.

Experience

3 yrs 9 mos

Total Experience

2 yrs

Average Tenure

1 yr 9 mos

Current Experience

Tekion corp

2 roles

Machine Learning Engineer

Promoted

Sep 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

As part of the ML Team, I contributed to building and scaling the ML Platform and Core ML products, focusing on high-performance backend systems that support real-time LLM inferencing with low latency and high throughput.
Key Contributions:
Designed and developed a platform service that stores, manages, and serves LLM configuration metadata dynamically based on use cases, quotas, and routing logic.
Built and maintained ML platform packages enabling end-to-end ML workflows, including a highly optimized gateway layer for reliable, scalable LLM calls.
Contributed to the CRM Pro project, powering features like Lead Snapshot, Call Transcription & Intent Extraction, and Smart Compose, improving overall product intelligence.
Developed asynchronous Python microservices enabling real-time inferencing and efficient handling of high-volume LLM requests.

Large Scale DevelopmentServer Side ProgrammingFastAPIAmazon Web Services (AWS)GrafanaSentry

Software Engineer

Jul 2024 – Sep 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

As part of the Analytics Platform team at Tekion, I am responsible for developing and scaling advanced analytics products, including the Report Builder. Leveraging cutting-edge technologies such as MongoDB, and Elasticsearch, I focus on building high-performance, data-driven solutions that enable users to gain actionable insights and make data-informed decisions.
Key contributions include:
Designing and implementing scalable and efficient analytics products.
Optimizing data storage and querying performance using ClickHouse, MongoDB, and Elasticsearch.
Collaborating with cross-functional teams to deliver reliable, user-centric features.
Ensuring the performance, scalability, and reliability of analytics tools for large-scale applications.

MongoDBElasticsearchClickHouseBackend DevelopmentData Analytics

Tiket.com

Software Engineer

Jul 2022 – Jul 2024 · 2 yrs · Noida, Uttar Pradesh, India · Remote

Contributed to the management and optimization of microservices in the Post-Order flow for Tiket.com's ordering system.
Played a key role in maintaining and enhancing the Tiket Order system across various verticals, including Flights, Hotels, Events, Trains, Cars, Airport Transfers, Buses, and Ferries.
Assisted in transitioning microservices from Java to Golang, contributing to improved system performance and scalability.
Integrated Grafana's Hawkeye to monitor latencies in inbound and outbound microservice calls, ensuring better system observability.
Developed a custom library for Sentry integration in Golang, enabling efficient error monitoring and observability across services.
Integrated SonarQube for code quality assurance in newly developed microservices, ensuring clean and maintainable code.
Contributed to significant projects like Ferry booking, Multi-order, Multi-currency support, and the 100% refund feature.
Followed best practices by writing maintainable, scalable code and utilizing design patterns for robust and efficient solutions.