Sahil Pandey — Software Engineer

I am a Software Development Engineer specializing in High-Concurrency Backend Systems and Agentic AI Architecture. I bridge the gap between distributed system design and autonomous workflow automation, architecting solutions that scale across Kubernetes environments (GKE, Azure) and optimize operational efficiency. Core Engineering Highlights: • Agentic AI & Orchestration (Go): Engineered a robust Agentic Workflow Orchestrator in Go, utilizing gRPC for high-performance, low-latency inter-agent communication. I developed a suite of specialized agents (including Log RC, Zendesk, and Jira integrations) leveraging the Model Context Protocol (MCP) to enable seamless, autonomous tool execution. • Distributed Systems & Concurrency: Architected a high-throughput Pub/Sub microservice using Go, Azure Service Bus, and the Producer-Consumer pattern. I implemented advanced concurrency patterns using Goroutines to handle thousands of concurrent downstream calls, utilizing Redis distributed locks to strictly manage slot allocation and organization-level throttling. • VoIP & Protocol Engineering: Built and deployed a scalable, open-source SIP (Session Initiation Protocol) server using the dracht.io framework. • RAG Pipelines: Designed a containerized "ORAG" pipeline (FastAPI, Celery, Redis) that significantly reduced manual data entry by 90%+ through intelligent automation. My foundation is built on rigorous algorithmic problem solving. I hold a Global Rank of 740 in LeetCode Biweekly Contests and have solved 400+ problems across platforms. I am passionate about writing clean, multi-threaded code and deploying resilient microservices. Tech Stack: Go (Golang), gRPC, Kubernetes, Docker, Azure Service Bus, Redis, MCP (Model Context Protocol), SIP/VoIP, PostgreSQL, MongoDB, Agentic AI.

Stackforce AI infers this person is a Backend Engineer specializing in AI-driven solutions for scalable systems.

Location: Noida, Uttar Pradesh, India

Experience: 1 yr

Skills

Backend Engineering
Distributed Systems
Artificial Intelligence
Machine Learning
Ai Development
Data Analysis
Data Analytics
Data Visualization

Career Highlights

Expert in high-concurrency backend systems.
Proven track record in AI and orchestration.
Strong foundation in algorithmic problem solving.

Work Experience

TrueFan AI

Software Development Engineer 1 (2 mos)

weya AI

Software Development Engineer (4 mos)

initializ

SDE-1 (10 mos)

Infosys Springboard

Intern (3 mos)

iNeuron.ai

Intership (1 mo)

Accenture

Internship (0 mo)

Education

Bachelor of Technology - BTech at Uiet kanpur

Sahil Pandey

Software Engineer

Noida, Uttar Pradesh, India1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in high-concurrency backend systems.
Proven track record in AI and orchestration.
Strong foundation in algorithmic problem solving.

Stackforce AI infers this person is a Backend Engineer specializing in AI-driven solutions for scalable systems.

Contact

Skills

Core Skills

Backend EngineeringDistributed SystemsArtificial IntelligenceMachine LearningAi DevelopmentData AnalysisData AnalyticsData Visualization

Other Skills

PythonFast ACKin-memory event bufferingMongoDBPub/Sub microserviceAzure Service BusGoroutinesRedisSIP serverDrachtioWebRTCOpenTelemetrylog monitoringAPIAlgorithms

About

Experience

1 yr

Total Experience

9 mos

Average Tenure

2 mos

Current Experience

Truefan ai

Software Development Engineer 1

Apr 2026 – Present · 2 mos · Gurugram, Haryana, India · On-site

Weya ai

Software Development Engineer

Dec 2025 – Apr 2026 · 4 mos · Noida, Uttar Pradesh, India · On-site

Architected an asynchronous webhook system using python for multi-provider telephony (Plivo, Twilio, Telnyx), which reduced response latency by 83% (from 2000ms to 300ms) through Fast ACK and in-memory event buffering.
Implemented batch processing that cut MongoDB operations by 60% and resolved race conditions using mutex locks, achieving a 100% success rate under 100 concurrent requests.
Engineered a high-throughput Pub/Sub microservice in Go utilizing Azure Service Bus and the Producer-Consumer pattern with Goroutines to handle thousands of concurrent downstream calls.
Deployed Redis distributed locks to manage slot allocation and organization-level throttling, ensuring strict resource governance across distributed nodes.
Built a scalable SIP server using Drachtio and WebRTC integration in Node.js, enabling real-time voice calling for production AI agents with complete SIP protocol handling and NAT traversal.
Spearheaded end-to-end enterprise client onboarding (deployment, configuration, UAT, and go-live), reducing onboarding time by 40% through automated setup scripts and reusable runbooks.
Provided live client support and deployed critical patches under strict SLA pressure to maintain 99.9% uptime across environments.
Integrated OpenTelemetry for distributed tracing and developed centralized log monitoring dashboards, which reduced the mean-time-to-debug (MTTD) by 50%.

PythonFast ACKin-memory event bufferingMongoDBPub/Sub microserviceAzure Service Bus+9

Initializ

SDE-1

Feb 2025 – Dec 2025 · 10 mos · Gurugram, Haryana, India · On-site

Infosys springboard

Intern

Oct 2024 – Jan 2025 · 3 mos · India · Remote

8 weeks Internship at Infosys springboard in artificial intelligence and machine learning technology .

APIAlgorithmsArtificial Intelligence (AI)Data ManipulationData AnalysisDatabase Management System (DBMS)+17

Ineuron.ai

Intership

Jul 2024 – Aug 2024 · 1 mo · Bengaluru, Karnataka, India · Remote

AI-Powered Data Query Bot Developer (Ineuron.ai Internship)
Project Scope: Had the incredible opportunity to contribute to Ineuron.ai's groundbreaking AI project, developing an innovative data query bot that revolutionized how organizations extract insights from their data.
Technical Stack: Employed Python, Flask, SQL, HTML/CSS/JavaScript, and Vanna.ai API to create a cutting-edge application.
Key Achievements:
Natural Language Processing: Pioneered the use of Vanna.ai to empower users to query data using plain English, eliminating the need for complex SQL syntax.
Data Visualization: Developed sophisticated data visualizations that transformed raw data into actionable insights, empowering stakeholders to make informed decisions.
User Experience: Designed a user-friendly interface that catered to both technical and non-technical users, ensuring seamless interaction with the tool.
Scalability: Built a scalable architecture to accommodate growing data volumes and user demands, ensuring the tool's long-term viability.
Impact: Contributed to Ineuron.ai's mission of democratizing AI by providing organizations with a powerful tool to extract valuable insights from their data.
Gratitude: I am immensely grateful for the opportunity to have been part of such a talented and inspiring team at Ineuron.ai. The internship experience was invaluable, allowing me to apply my skills, learn from industry experts, and contribute to a meaningful project.
Key Skills: Python, Flask, SQL, HTML/CSS/JavaScript, Natural Language Processing, Data Analysis, API Integration, User Interface Design, AI, Machine Learning

PythonFlaskSQLHTML/CSS/JavaScriptNatural Language ProcessingData Analysis+5

Accenture

Internship

Aug 2023 – Aug 2023 · 0 mo · Uttar Pradesh, India · Remote

📊 Completed Data Analytics and Visualization Virtual Experience at Accenture 🚀
Thrilled to have successfully completed a comprehensive Data Analytics and Visualization Virtual Experience at Accenture. During this immersive program, I honed my skills in extracting valuable insights from complex datasets, creating compelling visualizations, and deriving data-driven recommendations. Through hands-on projects and guided learning, I gained practical experience with industry-standard tools and techniques, enabling me to translate raw data into actionable business solutions. Grateful for the opportunity to learn from Accenture's experts and excited to apply these newfound skills to real-world challenges.
#DataAnalytics #DataVisualization #VirtualExperience #Accenture #AnalyticsSkills

Data VisualizationData AnalysisMachine LearningAnalyticsData Analytics