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refactor: update resume content for clarity and impact
- Revise intro section to highlight business outcomes and expertise - Remove redundant "Specialized Technologies" section - Enhance experience highlights with specific achievements - Update technologies section to reflect core tools and skills These changes improve the clarity and impact of the resume, emphasizing key achievements and technical skills that align with business goals.
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client/public/data/resume.json

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],
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"sections": {
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"intro": [
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"Data and infrastructure engineer with 3+ years of experience bridging traditional data engineering with modern AI systems, specializing in Python, SQL, and cloud platforms (AWS/Azure/GCP).",
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"Track record of exceptional performance optimization, including reducing a 27-hour SQL procedure to 5 seconds by implementing innovative Python-based solutions for processing 80M+ rows of data.",
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"Expert in building scalable architectures through event-driven design, containerization, and agentic LLM systems, consistently delivering solutions that transform complex business requirements into technical reality."
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"A Data & Infrastructure Engineer with 3+ years of experience building high-performance, intelligent systems that drive measurable business outcomes. I specialize in turning complex data problems into efficient, scalable software.",
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"I leverage deep expertise in Python, SQL, and multi-cloud architecture (AWS/Azure/GCP) to deliver transformative results, from slashing a 27-hour data process to just 5 seconds to engineering production-grade agentic LLMs.",
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"My work has directly contributed to critical business milestones for clients, including enabling a startup to secure a $6M Series A funding round and ensuring enterprise-grade data compliance for regulated industries."
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],
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"technologies": [
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{
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{
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"label": "Specialized & Visualization",
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"details": "CDPs, SFMC, Web Scraping, Looker Studio, PowerBI, Streamlit, Plotly, Matplotlib, Quantum Computing Simulation, Agile (Scrum/Kanban), Code Reviews, Technical Consultation & Solution Design"
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},
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{
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"label": "Specialized Technologies",
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"details": "Web Scraping, CDP, SFMC, Quantum Computing Simulation"
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}
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],
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"experience": [
@@ -66,9 +62,10 @@
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"location": "Gurugram, India (Remote)",
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"start_date": "2022-06",
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"highlights": [
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"<b>Data Engineering & Analytics:</b> Built ETL/ELT pipelines processing millions of healthcare and marketing records using Python, SQL, PySpark, and cloud platforms (AWS/Azure/GCP), with expertise in performance optimization achieving 99.8% runtime improvements.",
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"<b>AI/LLM Integration:</b> Developed production AI systems using OpenAI APIs, LangChain, and fine-tuned models (Mistral, Llama) for document processing, outreach automation, and agent-based architectures with 95%+ accuracy.",
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"<b>Backend, Cloud Infra & DevOps:</b> Managed containerized deployments with Docker/Kubernetes, implemented CI/CD workflows, and built FastAPI applications serving 100k+ users with real-time dashboards and REST APIs."
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"<b>Delivered >99.99% Performance Gains:</b> Re-architected a 27.5-hour legacy SQL procedure into a 5-second Python/DuckDB process, successfully handling 80M+ financial records and unlocking significant operational efficiency for the client.",
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"<b>Engineered and Shipped Production AI:</b> Built and deployed a production-grade agentic LLM system from the ground up, using fine-tuned Mistral/Llama models to achieve >95% accuracy in real-time data processing and tool orchestration.",
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"<b>Enabled a $6M Series A Funding Round:</b> Architected the foundational data platform from scratch on GCP for a high-growth startup, providing the critical infrastructure and real-time analytics that were instrumental in their successful funding.",
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"<b>Ensured Enterprise Data Compliance:</b> Implemented robust data pipelines for a major healthcare client (Johnson & Johnson), engineering complex consent logic to meet strict data governance and privacy standards in regulated markets."
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]
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},
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{
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"start_date": "2022-01",
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"end_date": "2022-05",
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"highlights": [
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"<b>Backend Development:</b> Built Django/DRF applications with PostgreSQL/MongoDB databases, developed REST APIs, and created automation tools for cable network management using geospatial data processing.",
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"<b>DevOps Implementation:</b> Established Azure DevOps CI/CD pipelines for platforms serving 50k+ daily users, managed database migrations, and integrated third-party APIs for operational automation."
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"Contributed across the full development lifecycle, from building a geospatial backend platform that earned direct client commendation to establishing CI/CD pipelines on Azure DevOps for services supporting 50k+ daily users."
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]
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}
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],
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"start_date": "2018-07",
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"end_date": "2022-06",
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"highlights": [
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"CGPA: **8.57**/10 ([Certificate](https://drive.google.com/file/d/1xX8XtAlEEnXSgkcJ3jYmYSJOQWRylA6S/view))"
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"CGPA: <b>8.57</b>/10 ([Certificate](https://drive.google.com/file/d/1xX8XtAlEEnXSgkcJ3jYmYSJOQWRylA6S/view))"
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]
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}
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],

client/public/data/resume.yaml

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@@ -13,12 +13,12 @@ cv:
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# username: "0000-0001-8195-3118"
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sections:
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intro:
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- "Data and infrastructure engineer with 3+ years of experience bridging traditional data engineering with modern AI systems, specializing in Python, SQL, and cloud platforms (AWS/Azure/GCP)."
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- "Track record of exceptional performance optimization, including reducing a 27-hour SQL procedure to 5 seconds by implementing innovative Python-based solutions for processing 80M+ rows of data."
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- "Expert in building scalable architectures through event-driven design, containerization, and agentic LLM systems, consistently delivering solutions that transform complex business requirements into technical reality."
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- "A Data & Infrastructure Engineer with 3+ years of experience building high-performance, intelligent systems that drive measurable business outcomes. I specialize in turning complex data problems into efficient, scalable software."
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- "I leverage deep expertise in Python, SQL, and multi-cloud architecture (AWS/Azure/GCP) to deliver transformative results, from slashing a 27-hour data process to just 5 seconds to engineering production-grade agentic LLMs."
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- "My work has directly contributed to critical business milestones for clients, including enabling a startup to secure a $6M Series A funding round and ensuring enterprise-grade data compliance for regulated industries."
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technologies:
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- label: "Core Languages"
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- label: "Core Languages & Tools"
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details: "Python, SQL, BASH, JavaScript, Git"
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- label: "Data Engineering & Orchestration"
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details: "ETL/ELT Pipelines, Data Modeling, PySpark, Pandas, NumPy, DuckDB, DBT, Airflow, GCP Workflows, Kafka, RabbitMQ, Microsoft Fabric, ADF, Treasure Data, GeoPandas, PostGIS"
@@ -34,27 +34,24 @@ cv:
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details: "Zero-Trust Architecture, Cryptography (E2EE, AES-GCM, RSA), IAM, OAuth2/JWT, SSO/SAML, RBAC, Secret Management, Pytest, Unittest, Pydantic, Pandera, Great Expectations"
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- label: "Specialized & Visualization"
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details: "CDPs, SFMC, Web Scraping, Looker Studio, PowerBI, Streamlit, Plotly, Matplotlib, Quantum Computing Simulation, Agile (Scrum/Kanban), Code Reviews, Technical Consultation & Solution Design"
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- label: "Specialized Technologies"
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details: "Web Scraping, CDP, SFMC, Quantum Computing Simulation"
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experience:
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- company: "FiftyFive Technologies"
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position: "Data Engineer"
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location: "Gurugram, India (Remote)"
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start_date: "2022-06"
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highlights:
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- "**Data Engineering & Analytics:** Built ETL/ELT pipelines processing millions of healthcare and marketing records using Python, SQL, PySpark, and cloud platforms (AWS/Azure/GCP), with expertise in performance optimization achieving 99.8% runtime improvements."
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- "**AI/LLM Integration:** Developed production AI systems using OpenAI APIs, LangChain, and fine-tuned models (Mistral, Llama) for document processing, outreach automation, and agent-based architectures with 95%+ accuracy."
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- "**Backend, Cloud Infra & DevOps:** Managed containerized deployments with Docker/Kubernetes, implemented CI/CD workflows, and built FastAPI applications serving 100k+ users with real-time dashboards and REST APIs."
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- "**Delivered >99.99% Performance Gains:** Re-architected a 27.5-hour legacy SQL procedure into a 5-second Python/DuckDB process, successfully handling 80M+ financial records and unlocking significant operational efficiency for the client."
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- "**Engineered and Shipped Production AI:** Built and deployed a production-grade agentic LLM system from the ground up, using fine-tuned Mistral/Llama models to achieve >95% accuracy in real-time data processing and tool orchestration."
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- "**Enabled a $6M Series A Funding Round:** Architected the foundational data platform from scratch on GCP for a high-growth startup, providing the critical infrastructure and real-time analytics that were instrumental in their successful funding."
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- "**Ensured Enterprise Data Compliance:** Implemented robust data pipelines for a major healthcare client (Johnson & Johnson), engineering complex consent logic to meet strict data governance and privacy standards in regulated markets."
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- company: "FiftyFive Technologies"
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position: "Software Engineer Intern"
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location: "Gurugram, India (Remote)"
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start_date: "2022-01"
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end_date: "2022-05"
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highlights:
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- "**Backend Development:** Built Django/DRF applications with PostgreSQL/MongoDB databases, developed REST APIs, and created automation tools for cable network management using geospatial data processing."
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- "**DevOps Implementation:** Established Azure DevOps CI/CD pipelines for platforms serving 50k+ daily users, managed database migrations, and integrated third-party APIs for operational automation."
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- "Contributed across the full development lifecycle, from building a geospatial backend platform that earned direct client commendation to establishing CI/CD pipelines on Azure DevOps for services supporting 50k+ daily users."
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education:
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- institution: "CIEM"

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