Headline

AI ML | GenAI | Agentic AI | Python | FastAPI

About

AI Engineer | ELK Stack | Kafka | Python | AWS Cloud | GenAI & RAG Practitioner I am a AI ML Engineer with 4.9 years of experience in building scalable data and cloud solutions, along with 1.5 years of hands-on experience in GenAI, Agentic AI and RAG (Retrieval-Augmented Generation) systems. I have strong expertise in the ELK Stack (Elasticsearch, Logstash, Kibana) for real-time analytics, monitoring, and operational intelligence. I have also worked extensively with Apache Kafka for distributed streaming, high-throughput ingestion, and reliable event-driven data pipelines. On the software engineering side, I build secure and maintainable backend services using Python and FastAPI, leveraging AWS Cloud for deployment, scaling, and automation. In the AI/ML space, I have delivered end-to-end RAG pipelines, improved retrieval performance through metadata filtering, optimized search relevance, and integrated LLMs for production-grade intelligent solutions. ✅ Core Skills & Tools • ELK Stack | Observability | Log Analytics • Apache Kafka | Streaming Pipelines • Python | FastAPI | Flask | REST APIs • AWS Cloud | Deployment & CI/CD • GenAI | RAG | LLM Ops • Machine Learning I am passionate about solving real-world challenges using data, automation, and cutting-edge AI technologies — delivering high-performance solutions that drive business value and user impact. Always learning, always improving. 🚀

Location

Pune/Pimpri-Chinchwad Area

AI stack

anthropic apis

claude code

cursor

github copilot

langfuse

langgraph

Work experience

AI Engineer at Cognizant, Apr 2026 - Present · 4 mo, Pune District, Maharashtra, India

AI ML Engineer at Apexon, Dec 2025 - Apr 2026 · 5 mos, Pune District, AI/ML engineer focused on Python, Generative AI, Agentic AI and cloud technologies, passionate about building innovative solutions and continuous learning

Data Engineer at Tata Consultancy Services, Aug 2021 - Dec 2025 · 4 yrs 5 mos, Pune, 1. Spearheaded log management and analysis using the ELK Stack (Elasticsearch, Logstash, Kibana) to improve data visibility, operational monitoring, and real-time diagnostics across distributed systems. 2. Developed and maintained scalable data pipelines for ingesting structured and unstructured data into Elasticsearch, ensuring high-throughput storage and efficient retrieval for analytics and AI workloads. 3. Engineered real-time data streaming workflows using Apache Kafka, building a fault-tolerant infrastructure with 99.9% uptime and capacity to process over 100 million documents per day. 4. Built a GenAI solution using Retrieval-Augmented Generation (RAG), where I used Elasticsearch to find relevant data and passed it to a Large Language Model (LLM) to generate accurate and helpful responses. 5. Created dynamic Kibana dashboards and visualizations for stakeholders, enabling real-time analytics, performance tracking, and faster data-driven decision-making. 6. Configured and deployed Metricbeat for system-level monitoring, increasing metric coverage by 40% and developing custom monitoring modules that accelerated issue detection and resolution by 20%. 7. Applied strong programming skills in Python and Java to automate data processing, build ML/AI-ready pipelines, and support custom analytics tools for 8. Conducted regular pipeline maintenance, debugging, and optimization, ensuring system scalability, minimal latency, and data consistency across ingestion layers. 9. Strong communicator and team player skilled at working with cross-functional teams to gather requirements and deliver impactful solutions. 10. Followed SAFe (Scaled Agile Framework) practices to enhance team collaboration and delivery efficiency, reducing project timelines by 20% and boosting team productivity by 15%. 11. Received “On The Spot Award” in recognition of outstanding teamwork, timely delivery of high-impact insights, and contributions to data engineering excellence.

DevOps Engineer at Proxima Systems, Feb 2021 - Jun 2021 · 5 mos, Pune, Maharashtra, India, 1. AWS infrastructure design and maintenance 2. Docker containerization and orchestration 3. AWS Elastic Beanstalk management 4. CI/CD pipeline implementation 5. Disaster recovery strategy implementation 6. Application performance monitoring and optimization 7. Collaboration with development teams

Developer at Google, Feb 2020 - Feb 2020 · 1 mo, Mumbai, Maharashtra, India, Attended Google's 2-day bootcamp, communicated with Google team and presented our idea infront of Googlers, ranked among the top 14 participants - an inspiring experience that fueled my passion for technology.

Education

Bachelor of Technology, Computer Science, Annasaheb Dange College of Engineering and Technology, ASHTA