Hire the Best Enterprise Search Experts

I specialize in building State-of-the-art AI-powered search engines.. Supporting companies optimize ranking and relevancy for higher find-ability leading to boosting conversion ands sales of their products. Additionally, I provide guidance on creating a superior search user experience (UX), ensuring that users have a seamless search journey through navigating your products. Working with Elasticsearch for over 8 years on various topics (Ranking, User query understanding and intent, NLP, Data-modeling, Scoring, Data Ingestion, built own Elasticsearch as a service, Monitoring) - 📚 Information Retrieval, Search engines & applications (Elasticsearch) - 🦾 AI & ML - 📱 Crafting customer-facing digital products. - 🔍 Data Analytics/Infrastructure, - 📦 Micro-services

I build secure internal AI copilots and enterprise search systems that connect your documents, CRM, databases, Slack, email, and internal tools so your team can get answers, trigger workflows, and automate repetitive work with confidence. If you need more than a chatbot demo, I can help you ship a production-ready AI system with grounded answers, citations, clean tool integrations, human handoff where needed, and clear evaluation. What I build: • Internal copilots for operations, support, sales, and knowledge teams • Enterprise search / RAG systems over SOPs, policies, contracts, tickets, product docs, and databases • MCP and API integrations for CRMs, helpdesks, Slack, email, Postgres, and internal tools • Workflow automation that updates records, routes tasks, sends follow-ups, and closes manual loops • Evals, tracing, and observability so answer quality improves over time • FastAPI backends, Python services, dashboards, and deployment-ready architecture Common outcomes: • Faster internal answers for teams • Fewer repetitive support tickets • Better lead routing and cleaner CRM workflows • Safer document Q&A with citations • Less manual operational work across disconnected systems I work with: Python, FastAPI, OpenAI, Claude, MCP, PostgreSQL, pgvector, Qdrant, Weaviate, Langfuse, n8n, webhooks, REST APIs, React, and Next.js I do not focus on AI theatre. I focus on useful systems that are measurable, maintainable, and tied to real business workflows. If you already know your bottleneck, send me the workflow and tool stack. If you do not, I can help you design the shortest path to a reliable internal AI system.

Have expertise in building powerful scalable and distributed architecture for Elasticsearch,Solr search engines and perform analytic using ELK,Grafana, and other BI tools. Overall 7 years of Enterprise Search experience with skill set of Apache SOLR,Elasticsearch,Logstash,Kibana,Autonomy IDOL,Java,REST Webservices.  Also have experience in building recommendations engine and log/ecommerce sentiment analytics. Technologies and includes exposure of JSON, XML, XSD, XSLT, HTML design patterns.  Worked on Nutch crawler and Apache SOLR, ZooKeeper integration for BANANA analytical dashboards.  Good hands on JAVA, Shell scripting.  Worked on powerful Search Engine development.  Have implemented Elastic Search -MongoDB integrations in projects.  Worked on distributed search solution Elastic Search, Logstash, Kibana for sentiment analysis.  In depth knowledge of shard, replica, cluster, indexes and various search types.  Elastic Search search-relevancy tuning.  Implemented JMS between our apps  Working experience in UNIX(REDHAT,Ubuntu) , Windows environment and MAC(Yosemite)  Well versed in agile development methodology and scrum meetings.  Working experience on Jetty and Apache Tomcat 6.0 servers.  Working experience in Deployment and unit testing on Search Engines.  Have worked on Mongo DB, Oracle10g, and MySQL 5.0 Databases.  Have been involved in drafting of impact analysis Document which helps to implement Business requirements in a very convenient way and to meet the expectations within the allocated timelines.  Well versed with various phases of software development life cycle.  My Domain exposure consists of Enterprise Search, Search Engine, Retail, Technology and Healthcare

Most RAG applications never go beyond an MVP or a prototype. There's a reason for that: they are not architected or built with production-grade capabilities in mind. As a result, these MVPs: • Produce inaccurate results, such as hallucinations and biases • Are insecure, vulnerable to DDoS attacks, prompt injection, cascading failures, and other risks • Are highly expensive in terms of token usage If your next goal is to build a MVP, build it with production capabilities in mind from the start. The transition from MVP to full production will then be low-friction and straightforward. If you're ready to build a production-ready application right away, make sure it includes all the necessary capabilities to avoid unnecessary money spent and wasted effort. I am a software engineer with more than 10 years of experience developing production-grade data pipelines, search applications, and RAG systems. I have successfully delivered numerous RAG and Agentic RAG projects with true production-grade capabilities . What I Provide: Production-grade architecture and rapid development of RAG applications, including Agentic RAG systems, that are able to: • Accurately parse, chunk and ingest millions of documents • Handle thousands of requests per second • Remain highly secure against DDoS attacks, prompt injection, and other threats • Feature highly efficient data ingestion pipelines (e.g., accurately parsing thousands of PDF files, including tables spread across multiple pages and unknown layouts) • Deliver highly accurate RAG and Agentic RAG performance through data-driven error analysis AI evaluators and systematic improvement of prompt engineering, retrieval (like vector search), and LLM capabilities. If you want to start building serious, production-grade RAG applications instead of toy prototypes, contact me for a free assessment of your idea's viability and technical feasibility.

I help startups and enterprise teams turn complex ideas into production-ready SaaS platforms. 𝟮𝟱+ 𝘆𝗲𝗮𝗿𝘀 | 𝗘𝘅-𝗩𝗲𝗿𝗶𝘇𝗼𝗻 / 𝗛𝗖𝗟 𝗣𝗲𝗿𝗼𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝟰 𝗦𝗮𝗮𝗦 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 | 𝟲𝟲+ 𝗨𝗽𝘄𝗼𝗿𝗸 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 – 𝟭𝟬𝟬% 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 | 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 | 𝗧𝗢𝗚𝗔𝗙 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗘𝗔 I don’t just design systems — I take ownership of delivery outcomes. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗪𝗼𝗿𝗸𝗲𝗱 𝗙𝗼𝗿: Telecom, Logistics, Strategy Management, Supply Chain, Agri-tech, Healthcare, Real estate etc. I have worked in the past for clients from accross the world (Esp: United States, Middle East, United Kingdom, Australia, India). Currently, as a solopreneur and freelancer, I am involved with multiple clients supporting them with the following: 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗱 🌟Software Product Strategy, 🌟SAAS Product Development, 🌟Enterprise architecture, 🌟Solution/ Technical/ Cloud Architecture, 🌟AI Product Management 🌟Software Audit, Review, Assessments 🌟Agile Project Management 𝗪𝗼𝗿𝗸 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🌟Enterprise Architecture Services from 2015 till now 🌟Principal Architect with Verizon India (2006 - 2015) 🌟Sr. Architect at Emirates Airlines IT from 2004 - 2006 🌟Full Stack Developer at HCL Perot Systems from 2000 - 2004 𝗩𝗮𝗹𝘂𝗲 𝗣𝗿𝗼𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 I design and implement scalable, efficient, and innovative technology solutions that align with your business objectives. With a proven track record in orchestrating successful IT transformations, I specialize in optimizing system performance, enhancing user experiences, and maximizing return on investment. By bridging the gap between complex technical requirements and strategic business goals, I enable organizations to achieve operational excellence and drive sustainable growth.

Seasoned Business Research & Strategic Intelligence professional with a strong track record of delivering high-impact research assignments across industries, markets, and geographies. Extensive experience supporting private equity firms, venture capital investors, asset managers, consultancies, and Fortune 500 clients with investment research, market intelligence, due diligence, and executive search mandates. Recognized for solving complex, niche, and high-value research problems using structured analysis and hard-to-source data. Core Experience & Achievements Conducted M&A target screening of software companies for a private equity firm, identifying acquisition opportunities aligned with investment criteria. Performed startup sourcing and investment screening for international venture capital firms, evaluating high-growth opportunities across sectors. Served as a Virtual Research Assistant for an asset management firm, delivering research support, executive assistance, and operational coordination. Completed specialized research reports on Asset Managers and ESG voting patterns, including difficult-to-obtain data such as total shareholder votes and index fund voting behavior. Produced detailed industry reports on sectors including US Construction, Affordable Housing, Semiconductors, and Renewable Energy. Researched renewable energy M&A transactions using public-domain sources, compiling transaction intelligence and deal databases. Identified and shortlisted qualified Board Member candidates for a MedTech company. Supported investor relations and fundraising efforts through preparation of investor lists, profiles, and market maps. Assisted in startup research, commercial due diligence, and updating financial waterfall models. Conducted patent and commercialization research, including market sizing and industry opportunity assessments for innovative technologies. Previous Engagements Thomson Reuters – Risk, Compliance & Governance: Conducted background checks on individuals and corporates for Fortune 500 clients. J.P. Morgan: Screened companies for M&A opportunities, developed company/industry profiles, and handled special research projects on renewable technology costs, Spanish housing markets, and mobile browser market sizing. Bullseye Research: Delivered investor intelligence, startup research, and financial model support. Venture Capital Firm: Acted as a deal scout, sourcing and evaluating companies based on client investment mandates. US Consultancy: Led patent, market sizing, and commercialization research for emerging technologies. Takada Asset Management: Managed research, presentation updates, board minutes, contract drafting, and administrative support. Professional Strengths Investment Research & Due Diligence Private Equity / Venture Capital Screening Market Sizing & Industry Analysis ESG & Asset Management Research Competitive Intelligence Executive Search & Board Hiring Support Advanced Secondary Research Strong Stakeholder Communication Results-driven, analytical, and highly dependable professional with the ability to deliver actionable insights under tight deadlines and contribute effectively in both independent and collaborative environments.