Manoj Jeswani

Senior Software Engineer

Bengaluru, Karnataka, India7 yrs experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in building AI-native platforms and intelligent systems.
  • Proficient in cloud-native architecture and enterprise AI solutions.
  • Contributed to Jupyter ecosystem for enhanced data science workflows.
Stackforce AI infers this person is a SaaS-focused engineer specializing in AI and cloud-native infrastructure.

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Skills

Core Skills

Generative AiLlm-powered ApplicationsDistributed ComputingEnterprise Ai/ml InfrastructureCloud-native SystemsAi/ml InfrastructureSql Code EngineCloud InfrastructureApi DevelopmentIntegration SystemsBackend Development

Other Skills

prompt engineeringLLM fine-tuningagent orchestration frameworkscontainer orchestrationJupyter ecosystemself-service platformsdocument processingmicro-servicesreal-time preview featureRedis DB optimizationAWSAzureApplication Tracking SystemsWebhooks frameworkDynamic Practice Test

About

I build AI-native platforms that combine distributed systems engineering with production-grade Generative AI. Over the past 6+ years, I’ve designed and re-architected cloud-native systems powering enterprise workloads across Kubernetes, AWS/Azure, and large-scale infrastructure, re-designed mission-critical platforms, and built self-service infrastructure at scale. Today, my focus is on engineering intelligent systems — LLM-powered platforms, agent orchestration frameworks, RAG pipelines, and secure multi-tenant AI infrastructure. My work centers on bridging infrastructure and intelligence: connecting observability systems, execution engines, and knowledge bases with LLM reasoning to enable autonomous and assistive workflows for enterprises. I’m also a contributor to the Jupyter ecosystem (Jupyter Enterprise Gateway) and am passionate about making AI systems reliable, secure, and production-ready. Links : https://github.com/manoj-jeswani https://www.hackerrank.com/manojjeswanig https://www.hackerearth.com/@Programmer_Manoj https://stackoverflow.com/users/5931774/manoj-jeswani https://www.youtube.com/channel/UCX44y8hUKSliZ39R46yy3zw

Experience

7 yrs
Total Experience
3 yrs 6 mos
Average Tenure
3 yrs 9 mos
Current Experience

Apple

2 roles

Senior Software Engineer

Promoted

Sep 2024Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

  • Engineering production-grade Generative AI platforms and intelligent agents — developing MCP servers, AI agents, and LLM-powered applications that bridge the gap between infrastructure and intelligence. Building platform involving orchestrating workflows with vector databases, RAG pipelines, and LLM serving infrastructure.
  • Extensively involved in prompt engineering, LLM fine-tuning, and developing agentic orchestration frameworks to build secure, reliable, and scalable AI systems for enterprise environments.
Generative AILLM-powered applicationsprompt engineeringLLM fine-tuningagent orchestration frameworks

Software Engineer

Aug 2022Sep 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

  • Work spanning across distributed computing, container orchestration, and enterprise AI/ML infrastructure. Re-architected mission-critical systems, and built self-service platforms at scale.
  • Key projects include:
  • Next-generation enterprise internal Notebook platform built on the Jupyter ecosystem and Jupyter Enterprise Gateway.
  • Ingestion pipelines for Enterprise-grade Smart Document ingestion and intelligent Q&A platform, enabling automated document processing and smart answers.
distributed computingcontainer orchestrationenterprise AI/ML infrastructureJupyter ecosystemself-service platforms

Hackerearth

5 roles

Staff Software Engineer

Apr 2022Aug 2022 · 4 mos

Senior Software Engineer

Promoted

Jul 2021Apr 2022 · 9 mos

  • Re-architected and built a more reliable and scalable SQL code engine that forms the core of SQL code evaluations at HackerEarth via Web and API interfaces. Multiple architecture designs were laid out followed by the benchmarking of their POCs and coding the one that best fits the use-case.
  • Architected and developed a micro-service that helps FaceCode interviews to be more like real work projects by enabling interviewees to directly execute databases queries from non-database language environments, using popular database adaptors.
  • Developed a real-time preview feature in Project Upload question type. It builds and deploys the uploaded projects to dedicated docker containers and makes their live web-app links available to candidates and recruiters for testing/evaluation, in real-time, with the help of dynamic DNS routing.
  • Led Redis DB Freeable memory optimization. Involved POC with various Redis Memory Analysis tools, data clean up and addition of data expiries.
  • Currently, leading the re-structuring of infrastructure at AWS as well as configuring the hybrid cloud model (AWS + Azure). Involves reviewing architectures of existing services and inter-service dependencies, configuring inter-cloud VPN tunnels, setting up kubernetes clusters and function apps at Azure, inter-cloud routing of requests via ALB, TGs and Ingress controllers, inter-cloud Pub/Sub routing and inter-cloud metrics based auto-scaling of resources.
  • Tech: Python, MySQL, PostgreSQL, MSSQL, Oracle, Docker, Kubernetes, AWS, Azure, Redis, Javascript, OpenResty
SQL code enginemicro-servicesreal-time preview featureRedis DB optimizationAWSAzure+1

Software Engineer

May 2019Jun 2021 · 2 yrs 1 mo

  • Designed and developed the end to end integration between HackerEarth and various Application Tracking Systems namely Jobvite, Workable, SAP SuccessFactors, JazzHR, as well as mentored the integration with Zoho Recruit and Recruiterbox.
  • Designed and developed a Webhooks framework and plugged it into various products. All functional and non-functional requirements like Authentication using HMAC signatures, data integrity, prevention of replay attacks, periodic retries, rolling of secret keys, and overall scalability and reliability of the system were taken care of in the single release.
  • Developed the Dynamic Practice Test feature in the product which provides candidates with a practice test corresponding to each assessment which automatically keeps updating itself (in real-time) in terms of problem-types, skills, difficulty levels, and max. scores whenever any related update is made by the admin in the original assessment.
  • Developed new RESTful public APIs for various products, namely Assessments, Interviews, and Billing. Optimized the response times of existing Assessment APIs and built Reconciliation APIs for HackerEarth Webhooks. Published integration documentation for the same.
  • Migrated HackerEarth's Email infrastructure from Sendgrid to Amazon SES. This was carried out in a rolling fashion which involved designing and setting up end to end integration architecture with monitoring and alerts, implementing SES integration and running parallel compatible email flows for Sendgrid and SES, and gradually shifting all email volume to SES. Today, we are sending more than 500K emails per day via SES integration.
  • Architected and developed an Elasticsearch based Audit Log service and its respective client.
  • Added a wrapper over Kafka client with fallback support (via RabbitMQ) for reliable message passing.
  • Designed and built public RESTful APIs for SQL code evaluations for HackerEarth's community platform.
  • Tech: Python, Django, MySQL, PostgreSQL, Docker
Application Tracking SystemsWebhooks frameworkDynamic Practice TestRESTful APIsElasticsearchKafka+2

Software Engineering Intern

Oct 2018Mar 2019 · 5 mos · Remote

  • It was a 6 months remote internship.
  • Worked in a team on 'Assessment Reports Revamp' project. Built RESTful backend APIs and services for candidate assessment reports using DRF and wrote unit and integration tests for all the flows.
  • Designed and implemented a score scaling algorithm which plays a critical role in scaling and normalizing the scores of problems and test-cases whenever they are added from HackerEarth library to an assessment by an admin.
  • Developed utility tools for internal team use. The major one was a dashboard for triggering the update of assessment participation reports and visualizing the realtime progress of the same.
  • Developed a cron job system for daily user categorization based on his various kinds of activities on the Community front of the platform. This was built to help organize user targetted product and promotion emails.
  • Tech: Python, Django REST framework, MySQL, RabbitMQ,
  • Firebase, Redis
backend APIsscore scaling algorithmutility toolscron job systembackend development

Software Engineering Intern

May 2018Jul 2018 · 2 mos · Bengaluru Area, India

  • Worked on HackerEarth product 'Recruit'.
  • Optimized various Django views, DB queries and critical application flows related to code compilation and submission.
  • Contributed towards GDPR compliance-related features in the product.
  • Developed utility tools for internal team use.
  • Contributed to the product's stability by working on fixes of some existing issues.
  • Tech: Python, Django, MySQL, Kafka
Django views optimizationGDPR complianceutility toolsbackend development

Mettl

Problem Setter Intern

Jun 2017Jul 2017 · 1 mo · Gurugram, Haryana, India

  • Created programming problems for Mettl's questions library and hiring events.
  • Created test-cases for Frontend problems used for evaluating UX of applications using Javascript DOM.
  • Developed Python-based Recursive Wildcard projects searcher, parser and categorizer using RegEx and Multiprocessing.
  • [ A python project (set of scripts modules) that performs pattern-based searches by going deep into the directory structure recursively and reads the content of the files and then segregates them on the basis of their code language (for source code files) and question topics (for .txt test case files) by moving them to corresponding directory groups. ]
  • All the work was reviewed and pushed to production.
  • Got an exposure of working into an industrial environment and to learn and polish my algorithmic skills as well.
programming problems creationtest-cases developmentPython-based projects

Education

Swami Keshwanand Inst. Of Tech. Mgt. & Gramothan, Jaipur

Bachelor of Technology — Computer Science

Jan 2015Jan 2019

Maheshwari Public School, Ajmer

Higher Secondary — Science and Mathematics

Jan 2014Jan 2015

Maheshwari Public School, Ajmer

Secondary — All subjects

Jan 2012Jan 2013

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