OM Bharatiya

CEO

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates7 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in architecting scalable AI systems.
  • Proven track record in building production-grade applications.
  • Strong leadership in transitioning to microservices architecture.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in E-commerce and AI systems.

Contact

Skills

Core Skills

Technical LeadershipArtificial Intelligence (ai)

Other Skills

AWSAWS (EKS, SQS, Aurora, EventBridge, Lambda, Step Functions, CDK)AWS EKSAWS LambdaAgentic AIAlgorithmsAmazon DynamodbAmazon Web Services (AWS)AnalyticsAndroid DevelopmentApache KafkaArtificial Neural NetworksAzure MLBack-End Web DevelopmentC

About

Building Production AI Systems | LLMs | RAG | MLOps | Distributed Systems If LinkedIn won’t let us connect (30K limit is exceeded), email me at coffeewithom@gmail.com . I'm genuinely interested in connecting - especially with engineers and founders building in the AI space. ✨ ombharatiya.com I'm a Principal AI Engineer who's shifted from building scalable distributed systems to architecting production-grade AI systems that actually work (not just impressive demos that fall apart at scale). 7+ years of backend engineering across e-commerce, fintech, SaaS, and enterprise gave me the hard-won knowledge that AI systems need solid foundations: evals, observability, failure handling, and architectures that won't collapse when real users show up. What I'm building with AI: - Production LLM applications with RAG, vector search, and agentic workflows - End-to-end ML pipelines: embeddings, retrieval systems, prompt engineering, evaluation frameworks - AI products that handle real traffic, not just hackathon glory - Cost-optimized inference architectures The backend foundation that makes my AI work actually scale: - Distributed systems on AWS/Kubernetes that survive traffic spikes and bad deploys - Data pipelines processing terabytes with Spark, Kafka, and good old database tuning (Postgres, DynamoDB, Redshift, Redis) - Microservices that don't turn into distributed monoliths - Observability baked in so we're not debugging in production at 3 AM 💡 AI & Tech Consulting I help teams build AI products from MVP to production: rapid prototyping, architecture reviews, RAG/agent systems, MLOps setup, cost optimization, strategies. Fast delivery, long-term stability. 🏅 My engineering merit badges (a.k.a. LinkedIn search bait): LLMs | Embeddings | Pinecone | MLOps | AI Agents | Prompt Engineering | LangChain | LangSmith | AWS Bedrock | OpenAI API | Backend Development | AWS | Lambda | EKS | ECS | Kafka | Elasticsearch | Python | FastAPI | Java | Spring Boot | Go | Terraform | Docker | CI/CD | Kubernetes | Prometheus | Grafana | Leadership | Event-Driven Architecture | MCP Server | ControlNet | OpenCV | InstantID | RAGAS | GraphRAG | Full stack AI | AI Agents | Reinforcement Learning 📍 Elsewhere on the internet 🐦 X — twitter.com/ombharatiya 💻 GitHub — github.com/ombharatiya 📚 Medium — medium.com/@ombharatiya 💬 Community — #♥️toBuild on Telegram (t.me//LoveToBuild) I’m here because I’m curious, about systems, about products, about people. If we can build something useful, fix something broken, or just swap war stories about prod outages over coffee, I’m in.

Experience

7 yrs 9 mos
Total Experience
1 yr 9 mos
Average Tenure
--
Current Experience

Mensa brands

2 roles

Lead Software Engineer

Promoted

May 2022Nov 2025 · 3 yrs 6 mos

  • Architecting technical foundation for 20+ portfolio brands' e-commerce operations with distinct operational requirements.
  • Key Contributions:
  • 1. Multi-Tenant Platform: Designed architecture supporting 100K+ SKUs across 15 marketplaces, reducing per-brand infrastructure costs by 60% while maintaining operational isolation. Built & trained for Gen AI Solutions to build efficient validations. Critical decisions on service boundaries and data partitioning enabled horizontal scaling without architectural refactoring.
  • 2. Operational Excellence: Built event-driven order management processing 10M+ daily transactions at 99.9% reliability. Established observability stack with custom metrics/distributed tracing, reducing MTTR from 45 to <10 minutes through proactive anomaly detection and automated recovery.
  • 3. Data Engineering: Implemented real-time pipelines aggregating cross-marketplace inventory/sales data, reducing stockouts by 40%. CDC patterns enabled near-real-time analytics without impacting transactional performance.
  • 4. Serverless Orchestration: Architected workload management system orchestrating 20K+ Lambda functions. Centralized library management via Lambda layers reduced deployment sizes by 80%. CloudWatch insights and SNS alerting catch anomalies proactively. CDK/GitOps workflows enable 10-minute deployments for new integrations.
  • 5. Infrastructure Leadership: Led monolithic-to-microservices migration (EKS), achieving 3x deployment velocity improvement. Infrastructure-as-code (CDK) reduced environment provisioning from days to hours.
  • 6. Technical Mentorship: Guided team of engineers adopting reactive programming (Spring WebFlux), reducing server costs by 50% for equivalent load.
  • Stack: Java Spring Boot, Python FastAPI, Agentic AI, PostgreSQL, AWS (EKS, SQS, Aurora, EventBridge, Lambda, Step Functions, CDK), CICD, Event Sourcing, CQRS, Distributed Tracing, Open API
Java Spring BootPython FastAPIAgentic AIPostgreSQLAWS (EKS, SQS, Aurora, EventBridge, Lambda, Step Functions, CDK)CICD+6

Engineering

Jul 2021May 2022 · 10 mos

  • Building Technology that makes Brands grow non-linearly.
KubernetesAmazon Web Services (AWS)

Enginebogie

Expert & Mentor

Oct 2021Oct 2025 · 4 yrs · Remote

  • Mentoring people in getting better jobs
  • Mock interviews
  • 1:1 doubt clearing sessions on various topics like LLD, HLD, etc.

Swiggy

Software Engineer

Feb 2021May 2021 · 3 mos · Bengaluru, Karnataka, India

  • Worked on Instamart Backend in the New Initiative team.
  • I contributed to enhancing operational efficiency during an essential expansion phase.
  • Engineered a Rack management and location service to streamline inward/outward processes, enhancing efficiency, and minimizing turnaround times.
  • Implemented various technologies, including Java Spring Boot, Redis, DynamoDB, Prometheus, gRPC, and New Relic.
  • My experience, though brief, was filled with considerable learning opportunities and impactful contributions to the team's objectives.
Java Spring BootRedisDynamoDBPrometheusgRPCNew Relic

Hashedin

3 roles

Senior Software Engineer

Promoted

Jul 2020Feb 2021 · 7 mos

  • Design and implementation of a subscription-based enterprise cloud-based Network as a Service (NaaS) product. This product aimed to provide real-time access and control over networking devices for efficient enterprise network management.
  • Worked on the development of customer data analytics platforms, enhancing data utilization and driving insightful service decisions.
  • Involved in building service insights, improving the understanding of service usage, and informing strategic developments.
  • Implemented core capabilities such as Incident & Workflow Management and security systems, maintaining a robust and stable operational environment.
  • Ensured system reliability and security through continuous monitoring and timely upgrades.
  • This experience solidified my skills in cloud systems and network management, particularly in creating and maintaining secure, scalable solutions.
KubernetesAmazon Web Services (AWS)

Software Development Engineer

Jul 2019Jun 2020 · 11 mos

  • Worked on Java Microservices based distributed system to provide Customer Data Analytics platform.
  • Building Networking & Banking Infrastructure as a service.

Software Engineer

Feb 2019Jul 2019 · 5 mos

  • Built centralized Error Handling Service for Frontend of the tenancy portal in the rental ecosystem as a product.
  • Built Wishlist exploration lifestyle mobile application from scratch. Main features include newsfeed, Images sharing, custom marker based map integrations, navigation through the timeline, etc.

Microsoft

2 roles

AI Rockstar

Oct 2018Jan 2019 · 3 mos

Microsoft Student Partner

Aug 2017Jul 2019 · 1 yr 11 mos

  • As a Microsoft Student Ambassador, I had the unique opportunity to nurture my passion for technology while fostering a vibrant tech community on campus. This role provided me with an invaluable platform to explore cutting-edge technology, lead a tech-driven community, and organize various tech-related events.
  • Leveraging the resources provided by Microsoft to delve into the latest technologies, thereby expanding my technical acumen.
  • Building and leading a community focused on technological advancements and discussions, creating a dynamic environment for like-minded individuals.
  • Conducting tech events on campus, enhancing awareness and knowledge about the latest industry trends among the student community.
  • Expanding my professional network by connecting with industry professionals and receiving guidance on various technologies and tools.
  • This role significantly contributed to my professional growth in the tech field and enabled me to enrich my connection with the industry while being actively enrolled in my academic institution.
Microservices

Isro - indian space research organization

Software Engineer

Jun 2018Aug 2018 · 2 mos · Ahmedabad, Gujarat, India

  • Research and Software Development Intern at Space Application Centre, ISRO
  • During my internship at ISRO's Space Application Centre, I was immersed in a stimulating environment where I could cultivate my technical skills while contributing to challenging projects.
  • Developed an advanced AI-based model for geo-spatial image enhancement. Utilizing Convolutional Neural Networks (CNN), I explored innovative ways to enhance images through semantic inheritance of neural architecture. This required meticulous image preprocessing, semantic analysis, and careful calibration of the model parameters for optimal performance.
  • Worked on an application aimed at optimizing solar irradiation capture on building rooftops. This project was a part of ISRO’s sustainability initiatives and involved detailed estimation, analysis, and visualization of solar irradiation data.
  • Produced comprehensive technical documentation to ensure the smooth continuation of projects and to provide essential reference materials for team members.
  • Honed my skills in a range of technologies, including Python, Deep Learning (CNN), Java, JavaScript, and HighCharts.
  • Working with ISRO provided me the invaluable opportunity to learn from some of the best minds in the field and make substantial contributions to the organization's mission.

Mcc - glbitm

Co-Founder

Oct 2017Jul 2018 · 9 mos · Greater Noida, India

  • During my academic years at GLBajaj, I was actively involved in the college’s student chapter. This club was a collaborative space for tech enthusiasts like myself to learn, explore, and sharpen our skills in coding, software development, and leadership.
  • Engaged in various software development activities, gaining hands-on experience and contributing to numerous innovative projects.
  • Participated in and organized coding competitions, fostering a competitive yet collaborative environment for learning and knowledge sharing.
  • Benefitted from mentorship programs by alumni, which provided invaluable industry insights and guidance.
  • Assisted in driving hackathons, helping to create a platform for innovative solutions and creative problem-solving.
  • Explored the latest technologies and trends, staying abreast of industry developments.
  • Prepared for tech interviews, refining both technical knowledge and interview skills.
  • Being part of this student club not only broadened my technical skills but also improved my ability to collaborate effectively, nurturing my leadership skills and fostering a strong sense of community.

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology - BTech — Computer Science

GL Bajaj Institute of Technology and Management

Bachelor of Technology — Computer Science & Engineering

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