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I am a backend software engineer with 3+ years of experience building scalable, high-throughput APIs and automation systems using Python, .NET, and PostgreSQL. I excel at system architecture, data pipelines, and integrating AI-driven components to boost performance and reliability. I thrive on observability, maintainability, and impact-focused engineering. I enjoy designing efficient backend services that empower teams to move fast while keeping systems robust. I’m motivated by solving complex problems at the intersection of data, APIs, and automation, and I’m always looking for ways to improve efficiency and collaboration across cross-functional teams.…I am a backend software engineer with 3+ years of experience building scalable, high-throughput APIs and automation systems using Python, .NET, and PostgreSQL. I excel at system architecture, data pipelines, and integrating AI-driven components to boost performance and reliability. I thrive on observability, maintainability, and impact-focused engineering. I enjoy designing efficient backend services that empower teams to move fast while keeping systems robust. I’m motivated by solving complex problems at the intersection of data, APIs, and automation, and I’m always looking for ways to improve efficiency and collaboration across cross-functional teams.

Abhishek Yadav

AI Engineer, Data Analyst, Web Developer, +5

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I am a backend software engineer with 3+ years of experience building scalable, high-throughput APIs and automation systems using Python, .NET, and PostgreSQL. I excel at system architecture, data pipelines, and integrating AI-driven components to boost performance and reliability. I thrive on observability, maintainability, and impact-focused engineering. I enjoy designing efficient backend services that empower teams to move fast while keeping systems robust. I’m motivated by solving complex problems at the intersection of data, APIs, and automation, and I’m always looking for ways to improve efficiency and collaboration across cross-functional teams.…I am a backend software engineer with 3+ years of experience building scalable, high-throughput APIs and automation systems using Python, .NET, and PostgreSQL. I excel at system architecture, data pipelines, and integrating AI-driven components to boost performance and reliability. I thrive on observability, maintainability, and impact-focused engineering. I enjoy designing efficient backend services that empower teams to move fast while keeping systems robust. I’m motivated by solving complex problems at the intersection of data, APIs, and automation, and I’m always looking for ways to improve efficiency and collaboration across cross-functional teams.

Available to hire

I am a backend software engineer with 3+ years of experience building scalable, high-throughput APIs and automation systems using Python, .NET, and PostgreSQL. I excel at system architecture, data pipelines, and integrating AI-driven components to boost performance and reliability. I thrive on observability, maintainability, and impact-focused engineering.

I enjoy designing efficient backend services that empower teams to move fast while keeping systems robust. I’m motivated by solving complex problems at the intersection of data, APIs, and automation, and I’m always looking for ways to improve efficiency and collaboration across cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Technical AI Intern I, Governance, Risk & Compliance Analytics at WorldLink US

October 1, 2025 - November 27, 2025

Engineered ETL workflows in Python, AWS S3, and PySpark while collaborating with data scientists to process regulatory records, improving downstream AI model readiness by 33%. Built NLP pipelines using TensorFlow and scikit-learn to extract control gaps from supervisory documents, enhancing compliance classification accuracy by 29% for enterprise clients. Optimized semantic similarity models with vector embeddings, reducing inference latency by 24% and improving risk scoring precision for audit teams.

Research Data Analyst Intern at US-India Chamber of Commerce DFW

October 1, 2025 - October 1, 2025

Built Power Automate data pipelines and Python scripts to unify outreach datasets across 5+ programs, reducing manual consolidation efforts by 32% and improving data freshness. Prototyped a generative AI membership assistant using Azure OpenAI and custom embeddings, improving response turnaround by 35% while decreasing manual workloads for staff.

System Engineer at Infosys Pvt Ltd

July 1, 2023 - July 1, 2023

Engineered end-to-end automation and integration solutions for AT&T using C#, .NET, and REST APIs, streamlining high-volume telecom workflows and reducing manual interventions by 35%. Designed API-driven data ingestion modules integrating SQL Server, .NET, and REST services with cross-team engineers, boosting operational throughput by 28% for AT&T platforms. Implemented predictive monitoring dashboards using Python, Power BI, and SQL to track service anomalies, helping reduce defect leakage by 22% across release cycles.

Technical Intern I at WorldLink US

October 1, 2025 - Present

Developed internal APIs and ETL services using Python, SQLAlchemy, and PostgreSQL, improving data ingestion efficiency by 30% and supporting ML model testing workflows. Collaborated with engineers and project leads to optimize RESTful endpoints, improving latency by 22% and ensuring consistent performance under concurrent request loads.

System Engineer at Infosys Pvt Ltd

January 1, 2022 - July 1, 2023

Developed and deployed backend automation systems for AT&T using C#, .NET Core, and RESTful APIs, reducing telecom ticket resolution time by 35% across production systems. Optimized service orchestration logic and PostgreSQL queries within microservice workflows, enhancing throughput by 28% while maintaining cost-effective infrastructure scaling. Collaborated with backend and QA engineers to design load-tested endpoints and implement CI/CD using Jenkins and Docker, reducing release errors by 18%. Performed configuration management and release governance across distributed services, increasing deployment success rates by 15% and minimizing incident recovery times.