Pranav Sharma
Technology Lead - Generative Ai @Enverus
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WORK HISTORY
Technology Lead - Generative Ai @Enverus
At Enverus, I’m building Instant Analyst, a multi-agent system using Retrieval-Augmented Generation (RAG) to analyze complex energy data and deliver actionable insights. The system enables intelligent, context-aware decision support and research by orchestrating AI agents across retrieval, reasoning and synthesis stages.• Leading a team of engineers at Enverus around the AI Efforts, developing Multi Agent AI applications and frameworks to analyse energy data and provide valuable insights to clients.• Implementing innovative solutions to analyse energy data.• Successfully managing cross-functional teams to ensure project milestones are met and that the deliverables exceed client expectations.Tools / Cloud Environment - Python, FastAPI, LangGraph, LangChain, AWS Strands, MCP, LLM, Postgres, AWS, Bedrock, Anthropic, OpenAI, Gemini, Docker, Kubernetes, LangSmith, Grafana, Prometheus.
EDUCATION
Thapar Institute of Engineering & Technology
Bachelor of Engineering (B.E.), Computer Science Engineering
Gandhi Memorial International School
Higher Secondary, Physics, Chemistry & Mathematics
SKILLS
ABOUT PRANAV SHARMA
I am a Senior-Level Software Engineer with solid experience in Technology Leadership. I am passionate about programming and open to embracing new platforms. I wish to work in a challenging environment and gain experience in working as part of a team to research and develop new software products.I have a rich experience in delivering software end-to-end and also leading a team technically (led a team of 5+ engineers at Amagi Corporation and currently leading a team of 15 people at Enverus).But really I just love solving problems. Languages: I consider myself proficient in a wide array of programming languages. At this point, the choice of language does not matter but for people interested I code avidly in - Python & Java (8+ years), Golang (2+ years), C/C++. Frameworks - Spring Boot, Micronaut, Django, Flask, Scrapy, Beego, Hitachi Pentaho. AI Frameworks - Langgraph, Langchain, Amazon Strands Databases - MySQL, Postgres, MongoDB, S3, Redis, Cassandra, Elasticsearch, Knowledgebase, Opensearch Queues - Kafka, PubNub OS - Linux, Unix, Windows Integrations & Deployments - Github Actions, Jenkins, CircleCI Version Control - Git Containerisation & Orchestration - Docker, Kubernetes, Argo Observability - Prometheus, Grafana, New Relic, Kibana, Redash, Tableau, Splunk IDEs - Sublime Text, IntelliJ, Visual Studio, Goland, Unity Cloud Services - AWS, Serverless, S3, SNS, Cloudformation, GCP
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