Saloni Mishra

Software Engineer

Bengaluru, Karnataka, India11 yrs 8 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Architected AI factory analytics backbone at NVIDIA.
  • Reduced memory usage by 98% with novel algorithms.
  • Building open-source AI marketing engine, AdForge.
Stackforce AI infers this person is a Backend-heavy Infrastructure Engineer specializing in AI and Big Data solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Apache KafkaMicroservicesHadoopBig Data

Other Skills

HBaseHiveJavaXMLPython (Programming Language)ScalaDistributed SystemsKafka StreamsgRPCKubernetesAkkaOAuthSupervised LearningQuantum ComputationNatural Language Processing (NLP)

About

I build AI systems that have to work at scale, in production, under pressure. As a founding engineer on NVIDIA's NetQ platform, I architected the analytics backbone for AI factories supporting industry leaders — designing a novel approximation algorithm that reduced memory usage by 98%, scaling a 4-node system from 100 to 5,000+ network switches without data loss or latency regression. After seven years at NVIDIA, I left to go deeper into AI. I'm now building AdForge — an open-source AI marketing engine that runs multi-agent RAG pipelines, fine-tunes LLMs on domain-specific copy, and generates complete campaign packages from a single product description. The kind of project where everything I know about distributed systems, streaming data, and applied ML converges. My current stack: LangChain · LangGraph · pgvector · sentence-transformers · LoRA fine-tuning · FastAPI · Kafka · Scala · Python · Kubernetes. IISc Quantum Computing and AI — 2025. Because the next decade of compute doesn't run on classical hardware. If you're building something hard in AI infrastructure, real-time data systems, or applied LLMs — let's talk.

Experience

11 yrs 8 mos
Total Experience
2 yrs 3 mos
Average Tenure
--
Current Experience

Nvidia

Software Engineer

Jun 2020Mar 2025 · 4 yrs 9 mos · Bengaluru · On-site

  • One of four initial developers for Cumulus NetQ ( https://www.nvidia.com/en-us/networking/ethernet-switching/netq/)
  • Designing the microservices and high-throughput data architecture for real-time telemetry streaming across SaaS and On-Prem. I engineered the streaming pipelines to handle massive data loads for AI factories, integrating critical security and usability features. My work defined the technical foundation from initial code to enterprise-scale deployment.
Artificial Intelligence (AI)Apache Kafka

Cumulus networks (acquired by nvidia)

Software Engineer

Oct 2018Jun 2020 · 1 yr 8 mos · Bengaluru

Ola (ani technologies pvt ltd)

Software Development Engineer

Jul 2015Jun 2018 · 2 yrs 11 mos · Bangalore

Nokia networks

Research and Development Engineer

Oct 2014Jul 2015 · 9 mos · Bangalore , India

Pointcross

Software Developer

Mar 2013Oct 2014 · 1 yr 7 mos · Bengaluru Area, India

  • Technologies involved :
  • Hadoop, HBase, Hive, Java and XML
  • Responsibilities:
  • > Implementing Map Reduce and Hive for Big Data computation and analytics
  • > Hadoop R&D to design and develop HDFS,HBase and HSearch architecture for already existing Point Cross RDBMS and Apache Solr backend.
  • > Implementing and writing PointCross proprietary APIs using HSearch in collaboration with Bizosys,HSearch API Contributor in Apache Software Foundation for indexing data.

Education

Centre for Development of Advanced Computing (C-DAC)

PG Diploma — Wireless and Mobile Computing

Jan 2012Jan 2013

APJ Abdul Kalam Technological University

B. Tech — Computer Science

Jan 2008Jan 2012

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