About
GenAI Backend Engineer with 3+ years of experience building scalable, high-performance systems using Python and Golang. Experienced in RAG, Agentic AI, and LLM integrations, with a strong foundation in microservices and distributed architectures. Currently working on IIoT cloud solutions at Capgemini, designing secure and scalable systems for real-world industrial use cases. A problem solver who makes complex systems work.
GenAI Backend Engineer & Distributed Systems Developer
Specializing in Agentic AI pipelines, Model Context Protocol (MCP), LLM APIs, high-concurrency microservices, vector search indexing, and real-time industrial data ingestion.
- Location: Noida / Sagar, India
- Email: Sahil.singhai.jainn@gmail.com
- Experience: 3+ Years
- Degree: B.Tech in Information Technology
- Current Role: Associate Consultant (Capgemini)
- GitHub: github.com/sahilsnghai
- Availability: Open to Opportunities
Key Highlights & Metrics
Proven track record of engineering scalable AI integrations, high-concurrency services, and enterprise-grade IIoT data pipelines.
Years Professional Experience
Repositories & Projects
Edge Nodes & Services Managed
Industry Certifications
Skills & Technologies
A comprehensive toolkit spanning generative AI, distributed backends, cloud infrastructure, and modern databases.
GenAI & Agentic AI
Core Languages
Backend & Frameworks
Cloud, DevOps & Observability
Databases & Caching
IIoT & Distributed Systems
Professional Experience
Demonstrated impact building production enterprise platforms, industrial IoT pipelines, and generative AI systems.
Work Experience
Associate Consultant Capgemini
Jan 2026 – Present | Noida, India
Leading edge computing, industrial IoT data pipelines, and distributed observability architecture.
- End-to-End IIoT Pipelines: Architected and developed end-to-end IIoT data pipelines connecting PLC → OPC-UA → Edge → UNS → AWS Cloud, enabling 30%+ faster data processing and scalable industrial ingestion.
- Dynamic Orchestration Platform: Built a dynamic orchestration platform coordinating 10+ applications/services, enabling user-defined workflows and real-time OPC-UA data enrichment with flexible data structures.
- Edge Application Management: Designed an Edge Application Management platform supporting multi-instance deployments, application configuration, and lifecycle management across 50+ edge instances.
- Queue-Based Provisioning: Engineered queue-based edge provisioning infrastructure enabling concurrent provisioning/unprovisioning, reducing manual edge setup effort by 40%+ via one-click edge gateway cluster deployment.
- Centralized Observability: Implemented monitoring and distributed log visibility using Prometheus, Grafana, and Loki across 100+ edge nodes/services.
- Global Engineering Collaboration: Collaborated with global teams to deliver production enterprise solutions, improving system reliability and deployment efficiency by 30%+.
Associate Software Engineer Netlink Software Pvt. Ltd.
Apr 2023 – Dec 2025 | India
Core backend development, GenAI engine enhancements, RAG implementation, and MCP integration.
- AskMe Engine Optimization: Improved the AskMe Engine service performance by 50% through backend optimizations, Gen AI-assisted tagging, and enhanced Highcharts visualizations using Python 3.10.
- LLM & Prompt Engineering: Leveraged ChatGPT and advanced prompt engineering to enhance response quality, driving higher user engagement and more contextual answers.
- Vector Search Retrieval: Implemented Qdrant vector search by chunking text, generating embeddings, and storing them for high-speed semantic retrieval.
- Lumenore-MCP Integration: Built and deployed Lumenore-MCP to extend Lumenore’s AI analytics functionality to LLMs and VLMs using the Model Context Protocol.
- Financial Tooling: Developed a Django-based financial scenario planning application, increasing budget analysis efficiency by 15%.
Digital Insight Intern Netlink Software Pvt. Ltd.
Jan 2023 – Mar 2023 | India
- Gained hands-on experience with APIs, Apache Spark, Alexa Skills, and databases including MySQL, Vertica, and Greenplum.
- Researched prompt engineering methodologies and authored documentation for OpenAI ChatGPT 3.5 integrations.
- Evaluated Python frameworks (Flask, Django, FastAPI) to inform backend architecture decisions.
- Improved data storage efficiency by 25% through optimized implementation of Greenplum and MySQL.
Education
Bachelor of Technology (B.Tech)
2019 – 2023
Oriental Institute of Science and Technology, Bhopal, India
Major: Information Technology (IT)
Academic Score: CGPA 7.88 / 78.8%
Developed core projects including Bondly and YouTube Downloader, applying distributed systems and full-stack backend development principles.
Higher Secondary Education (12th Grade)
2018 – 2019
Emanuel English Medium Higher Secondary School
Completed senior secondary education while serving as Head Boy with leadership responsibilities.
Core Competencies
Architecture & Engineering Focus
- Agentic Workflows: Multi-agent routing, tool calling, and RAG pipelines via LangGraph and MCP.
- High Concurrency: Goroutines, channels, fasthttp, and async Python (FastAPI/Falcon).
- Observability & Reliability: Metrics-driven reliability with Prometheus, Grafana, and Loki.
- Industrial Edge & UNS: Real-time streaming from PLC → OPC-UA → UNS → Cloud.
Featured Projects & Work
Explore a selection of GenAI architectures, high-performance backends, cloud distributed systems, and open-source developer tooling.
- All Projects
- GenAI & Agents
- Backend & Microservices
- Cloud & Distributed
- Developer Tools & Web
Lumenore-MCP
Engineered and deployed a Model Context Protocol (MCP) server that provides AI assistants and LLMs/VLMs with direct programmatic access to Lumenore enterprise analytics, enabling natural language data querying and automated BI insights.
Ask Me (Lumenore GenAI)
Enhanced Lumenore’s flagship “Ask Me” feature by implementing intelligent tagging, semantic RAG pipelines, Qdrant vector retrieval, Redis caching, and dynamic KPI/Highcharts generation from contextual metadata.
Resume Parser
High-accuracy resume parsing pipeline built with FastAPI, LangChain, LangGraph, and GPT-4. Extracts structured data from PDF and DOCX files into validated schemas with multi-agent verification.
Standalone RAG
A modular Retrieval-Augmented Generation application allowing users to upload unstructured documents, automatically chunk and embed content, and execute fast semantic question-answering with LLMs.
ChartCraft
A FastAPI-based microservice that accepts dynamic user payloads and query metrics to synthesize interactive, validated Highcharts configurations with automated AI-assisted chart recommendations.
JsonYaml-Formatter
Browser-based developer tool supporting formatting, validation, minification, bidirectional conversion, and diff comparison. Built with Monaco Editor for zero-latency, privacy-first processing.
MetaGo
High-performance Go microservice architected to handle metadata creation and streaming for user data. Processes 700+ concurrent requests with 1MB payloads locally using fasthttp, goroutines, and channels.
Website Intelligence
Web intelligence tool that crawls target URLs, parses HTML structures, extracts clean text corpora, and generates structured executive summaries and key takeaway extractions using LLMs.
DupSnap
A smart duplicate photo detection tool that computes perceptual hashes (pHash/dHash) across directories to locate exact and visually similar duplicate images with configurable similarity thresholds.
Tyre Quality Classifier
Machine learning classification service wrapped in FastAPI that analyzes inspection features to classify industrial tyre quality as good or defective with confidence scoring and fast inference.
Distributed Data Pipeline
High-throughput distributed web scraping architecture utilizing FastAPI endpoints, Cassandra (Astra DB) distributed storage, Celery worker tasks, Redis message queue, and Docker containerization.
Budgeting & Forecast
Created a Django-based financial planning application for business budget management and scenario modeling. Built with MySQL relational storage, strict data encapsulation, and reporting modules.
Bondly
Designed and built Bondly, an ad-free social networking web application engineered in Django. Focused on user privacy, authentic community interactions, profiles, and feeds without addictive algorithm loops.
YouTube Downloader
A desktop application for Windows featuring an intuitive Tkinter GUI for multithreaded downloads of video streams, audio extractions, and thumbnail downloads with customizable format settings.
NvChad IDE Config
High-speed, modular development environment configuration for Neovim written in Lua. Features Language Server Protocol (LSP) integrations, Treesitter syntax parsing, Telescope fuzzy finding, and custom keymaps.
Certifications & Credentials
Verified professional certifications across Generative AI, Cloud Infrastructure, Networking, and Data Science.
Oracle Cloud Infrastructure 2024 Generative AI Professional
Specialized in Large Language Models (LLMs), RAG architectures, fine-tuning techniques, and OCI Generative AI Services.
Oracle Cloud Infrastructure Foundations 2022 Associate
Validated foundation in cloud computing concepts, core OCI services, cloud security, networking, and governance.
Introduction to Networks (CCNAv7)
Credential covering network protocols, architecture, IP addressing, Ethernet switching, and network operations.
Python & SQL Gold Badges
Highest level badges earned for advanced problem-solving in Python algorithms and complex SQL database querying.
Applied Machine Learning & Plotting in Python
Specialized training in predictive modeling, statistical analysis, scikit-learn algorithms, and data visualization.
FuturePrime AWS Cloud Training
Hands-on architecture training covering AWS compute (EC2/Lambda), storage (S3), databases, and VPC networking.