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Shreyash Agarwal

@shreyashagarwal

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Results-oriented backend engineer with 7 years of experience.

India

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities.

I am a results-oriented backend engineer with over 7 years of experience in designing and implementing scalable, reliable systems across diverse domains, including finance, e-commerce, and entertainment. My expertise lies in backend engineering, real-time data processing, and optimizing microservices for high performance and fault tolerance. I have a strong background in AI systems and Reinforcement Learning from Human Feedback (RLHF), which enhances my ability to contribute to innovative solutions.

Throughout my career, I have led technical initiatives, mentored teams, and collaborated with stakeholders to drive business innovation. My recent projects include designing architectural diagrams and CI/CD deployment pipelines for clients, enhancing the performance of user-facing APIs, and developing real-time ETL infrastructures for financial market data. I am passionate about leveraging technology to solve complex problems and improve user experiences.

Experience

Work history, roles, and key accomplishments

Current

Independent Technical Consultant

Current

Freelance and Consulting Projects

Sep 2022 - Present (2 years 11 months)

Designed architectural diagrams and provided CI/CD deployment pipelines for clients involving government integrations (UDIN and ONDC), enabling smooth operations across cloud and State Data Centre infrastructure. Delivered high-performance data extraction workflows using Python and scraping tools, addressing challenges such as JavaScript-heavy content and anti-scraping mechanisms.

CI CD Python Data Extraction Scraping Cloud Infrastructure State Data Centre UDIN ONDC Performance Optimization

Backend Python Engineer

Turing

Jan 2023 - Aug 2024 (1 year 7 months)

Contributed to training a state-of-the-art Large Language Model (LLM) using Reinforcement Learning with Human Feedback (RLHF), enhancing contextual understanding and output quality. Enhanced HTTP plugin systems by improving architecture, modularity, and integration with OpenAPI/Swagger specifications for seamless plugin interactions.

Large Language Models HTTP Plugin Systems OpenAPI Swagger Data Annotation Python Backend Engineering AI Systems

Software Engineer

Meesho

Mar 2020 - Sep 2022 (2 years 6 months)

Optimized the P99 performance of user-facing APIs by 900%, leveraging advanced caching techniques in Elasticsearch to achieve millisecond response times, dramatically enhancing user experience. Designed a horizontally scalable real-time indexing architecture using Apache Flink, reducing indexing latency from 4 hours to 15 minutes, handling peak workloads of 60 million events per second.

Elasticsearch Microservices Apache Flink CI CD Jenkins AWS Docker API Design Real Time Indexing Fault Tolerance

Software Engineer 2

Circles.Life

Aug 2019 - Feb 2020 (6 months)

Built modular crawlers for high-volume data ingestion, improving performance and reliability for critical backend systems. Enhanced backend microservices using Go, optimizing MongoDB queries for reduced latency and better resource utilization.

Go)MongoDB Microservices Data Ingestion Backend Systems Performance Optimization Reliability Scalability API Development

Senior Software Engineer

Minance Technologies

Oct 2017 - Jul 2019 (1 year 9 months)

Developed a real-time ETL infrastructure for financial market data, supporting fault-tolerant, high-speed ingestion of websocket streams. Migrated APIs to serverless architectures, reducing operational overhead and boosting deployment efficiency.

ETL Market Data Websocket Streams Serverless Architecture API Migration Fault Tolerance Data Ingestion Deployment Operational Overhead Reduction Real Time Systems

Education

Degrees, certifications, and relevant coursework

M.S. Ramaiah Institute of Technology

B.E. in Information Science and Engineering, Information Science and Engineering

2012 - 2017

Grade: 7.89/10

Graduated with Honours, achieving a CGPA of 7.89/10. The curriculum focused on core principles of information science and engineering.

Delhi Public School, Ruby Park

A.I.S.S.C.E (CBSE), Science

Grade: 87.4%

Completed the All India Senior School Certificate Examination with a focus on Computer Science, English, Physics, Chemistry, and Mathematics. Achieved a percentage of 87.4%.

Delhi Public School, Ruby Park

A.I.S.S.E (CBSE), General Studies

Grade: 9.60

Completed the All India Secondary School Examination with a CGPA of 9.60. Key subjects included English, Mathematics, Computer Science, Science, Hindi, and Social Studies.