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Akash A.

Software Engineer

Bengaluru, Karnataka, India16 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 15+ years of experience in engineering high-impact solutions.
  • Expert in developing scalable AI and ML systems.
  • Passionate about mentoring engineers and driving ML adoption.
Stackforce AI infers this person is a SaaS expert specializing in AI and ML systems for high-scale applications.

Contact

Skills

Core Skills

Large Language Models (llm)Natural Language Processing (nlp)Machine LearningRecommender Systems

Other Skills

AIWorkbenchAWSAgentsAgile MethodologiesAkkaAlgorithmsAmazon EC2Amazon S3Amazon Web ServicesAmazon Web Services (AWS)Apache SparkArduinoBERT (Language Model)CCI/CD

About

I believe there’s magic in engineering—turning abstract ideas into tangible, high-impact solutions. With 𝟭𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, I specialize in 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗹𝗮𝗿𝗴𝗲-𝘀𝗰𝗮𝗹𝗲 𝗠𝗟 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀, 𝗟𝗟𝗠𝘀 𝗮𝗻𝗱 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻. 𝗔𝗜 & 𝗠𝗟 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 – I have 5+ years as an Applied Scientist I’ve built 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗿 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗔𝗺𝗮𝘇𝗼𝗻 𝗣𝗮𝘆 and developed 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀 which deliver adaptive customer experience on high traffic pages viz. 𝗔𝗺𝗮𝘇𝗼𝗻 𝗱𝗲𝘁𝗮𝗶𝗹 𝗮𝗻𝗱 𝗴𝗮𝘁𝗲𝘄𝗮𝘆 𝗽𝗮𝗴𝗲𝘀. I currently work on 𝗟𝗟𝗠𝘀, 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝘂𝗻𝗶𝗻𝗴, 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), 𝗮𝗻𝗱 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜 & 𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 – I led the development of a secure agent chat-bot platform which powers 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 for 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝗲𝗮𝗿𝗰𝗵, 𝗗𝗲𝘁𝗮𝗶𝗹, 𝗥𝗲𝘁𝘂𝗿𝗻𝘀 𝗽𝗮𝗴𝗲 and 𝗔𝗺𝗮𝘇𝗼𝗻 𝗔𝗱𝘀. 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 – Designed a 𝗦𝗽𝗮𝗿𝗸-𝗯𝗮𝘀𝗲𝗱 𝗠𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝟰𝟬+ 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗿𝗼𝘄𝘀 𝗱𝗮𝗶𝗹𝘆, enabling real-time inference and scoring at scale. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 & 𝗧𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁 – Built and optimized the 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹, improving Amazon’s page load times and customer experience. 𝗠𝗟𝗢𝗽𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Developed 𝗖𝗜/𝗖𝗗/𝗖𝗧 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴) 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 for ML workflows, enabling 𝗳𝗮𝘀𝘁𝗲𝗿 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝘆𝗰𝗹𝗲𝘀 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗠𝗟 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 using AIWorkbench. 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 & 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 – Passionate about empowering engineers, I built the 𝗠𝗟 𝗢𝗽𝘀/𝗠𝗟 𝗡𝗶𝗻𝗷𝗮𝘀 course, training 𝟭𝟬𝟬+ 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 to drive ML adoption at scale. Currently, I am focused on 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝘁𝗼𝗼𝗹𝘀 𝗹𝗶𝗸𝗲 𝗧𝘂𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗺𝗽𝘁 𝘂𝘀𝗶𝗻𝗴 𝗟𝗟𝗠, 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗹𝗮𝗯𝗲𝗹𝗹𝗲𝗱 𝗱𝗮𝘁𝗮𝘀𝗲𝘁 𝘂𝘀𝗶𝗻𝗴 𝗟𝗟𝗠𝘀, 𝗺𝘂𝗹𝘁𝗶-𝘁𝗲𝗻𝗮𝗻𝘁 𝗥𝗔𝗚 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗚𝗲𝗻 𝗔𝗜 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Let’s connect if you want to talk 𝗟𝗟𝗠𝘀, 𝗠𝗟 𝘀𝗰𝗮𝗹𝗶𝗻𝗴, 𝗼𝗿 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀!

Experience

Rippling

Senior Staff Software Engineer

Jun 2025 – Present · 9 mos · Greater Bengaluru Area

Amazon

6 roles

Principal Engineer

Promoted

Oct 2024 – Present · 1 yr 5 mos

  • Leading the development of advanced LLM capabilities, including auto-tuning prompts, auto-evaluation, and auto-labeling to reduce dependency on human annotators.
  • Driving the development of a multi-tenant RAG (Retrieval-Augmented Generation) platform for multiple LLM-based use cases.
  • Deploying LLMs like Mistral and DeepSeek R1 on a multi-node, multi-GPU setup using Ray and tensor parallelism, optimizing for scalability and performance. Check out: https://github.com/thehellmaker/llm-experiments/blob/main/deepseek-r1/README.md
  • Spearheading efforts to enable CI/CD/CT (Continuous Training) pipelines for ML workflows using AIWorkbench.
  • Driving architectural simplification to reduce operational overhead, enhance maintainability, and improve platform efficiency.
  • Improving large-scale developer productivity by integrating GenAI into the development lifecycle across multiple VP orgs.
ElasticsearchNatural Language Processing (NLP)AgentsTransformer ModelsRetrieval-Augmented Generation (RAG)Large Language Models (LLM)+1

Software Development Engineer 3

Feb 2021 – Sep 2024 · 3 yrs 7 mos

  • Designed a high-performance Spark-based ML pipeline, processing 40+ billion rows daily for real-time inference and scoring at scale.
  • Optimized skewed data in Spark pipelines to improve processing efficiency and model accuracy.
  • Developed the Amazon Pay Coupons Recommender System, increasing coupon redemption rates by over 5X.
  • Built the Riemann Latency Prediction Model to deliver lighter, faster Amazon Detail Pages and Amazon Search Pages for customers on slow networks.
  • Achieved a TP99 of 5 milliseconds by implementing a JVM-based XGBoost model with a custom real-time Spark inference pipeline, ensuring ultra-low latency predictions.
ElasticsearchNatural Language Processing (NLP)AgentsTransformer ModelsRetrieval-Augmented Generation (RAG)Large Language Models (LLM)+2

Machine Learning Scientist

Promoted

Jan 2017 – Feb 2021 · 4 yrs 1 mo

  • Designed a high-performance Spark-based ML pipeline, processing 40+ billion rows daily for real-time inference and scoring at scale.
  • Optimized skewed data in Spark pipelines to improve processing efficiency and model accuracy.
  • Developed the Amazon Pay Coupons Recommender System, increasing coupon redemption rates by over 5X.
  • Built the Riemann Latency Prediction Model to deliver lighter, faster Amazon Detail Pages for customers on slow networks.
  • Achieved a TP99 of 5 milliseconds by implementing a JVM-based XGBoost model with a custom real-time Spark inference pipeline, ensuring ultra-low latency predictions.
Transformer ModelsLightGBMLarge Language Models (LLM)Recommender SystemsBERT (Language Model)

Software Development Engineer 3

Oct 2016 – Jan 2017 · 3 mos

Software Development Engineer 2

Oct 2012 – Oct 2016 · 4 yrs

  • Designing and building systems that work and are easily manageable at scale.

SDE

May 2011 – Nov 2012 · 1 yr 6 mos

  • I work in the core http://www.junglee.com team

Nokia siemens networks

Software Engineer

Jul 2010 – May 2011 · 10 mos

  • Built systems for Device management product and was responible for POC of porting Oracle based reporting framework to Hadoop and HBase.

Bandof5.com

Co-Founder

Jul 2010 – Apr 2011 · 9 mos · Bengaluru, Karnataka, India

  • I was the co-founder, lead developer & more of the website www.bandof5.com which was the marketplace for all local musical events in India

Oceans thought

Co Founder

Jul 2009 – Dec 2010 · 1 yr 5 mos · Bengaluru, Karnataka, India

  • I was the co-founder, lead developer & more for Oceans Thought Pvt. Ltd. which mainly worked on improving the survey systems and the approach to reach target audience through social and professional networks.

Education

Visvesvaraya Technological University

B.E — Computer Science

Jan 2005 – Jan 2009

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