Gaurav Mittal

Software Engineer

Delhi, India9 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Large Language Models and Natural Language Processing.
  • Proven track record in optimizing complex systems.
  • Strong background in Machine Learning and Software Development.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Fintech.

Contact

Skills

Core Skills

Large Language Models (llm)Natural Language Processing (nlp)Machine LearningSoftware DevelopmentAmazon Web Services (aws)Microservices

Other Skills

AlgorithmsApache KafkaArchitectural DesignBack-End Web DevelopmentCC++CUDAComputer ArchitectureContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDistributed SystemsDocker ProductsElastic Stack (ELK)ElasticSearchElectronics

About

Life long learner, like to identify and obliterate problems.

Experience

Google

2 roles

Software Engineer

Mar 2022Present · 4 yrs

  • SWE AI Innovation and Research
  • Building SWE Agents
  • SWE Workspace APIs.
  • Gemini 3P extensions
  • Salesforce einstein plugin for workspace
  • Hubspot plugin for workspace
  • Built Workspace Events API
  • Built Workspace console in GCP
  • API Quota Management System
Large Language Models (LLM)Natural Language Processing (NLP)Distributed SystemsGenerative AIVector DatabasesPython+2

Software Engineer

Dec 2020Mar 2022 · 1 yr 3 mos

  • SWE Payments Risk Org
  • Fraud Detection Systems
  • Customer Investigation Tool
Machine LearningDistributed SystemsSoftware DevelopmentMicroservicesBack-End Web DevelopmentLinux+1

Hotstar

SDE II

Sep 2019Dec 2020 · 1 yr 3 mos · Gurgaon, India

  • 1. Hypothesized and Optimized Elasticsearch based platform to reduce the infrastructure cost by up to 45% by modifying the existing system to upgrade access pattern.
  • 2. Designed and Implemented an autoscalar for AWS DAX, based on parameters CPU, Network and other signals.
  • 3. Plugged video validation flow inside content ingestion flow to validate videos before ingestion, thus reducing the chances where customers might face non-playable assets.
  • 4. Designed efficient payload structure with SDK for content platform APIs, consumed by Clients.
  • 5. Designed RBAC system for content ingestion platform for segregating scopes and field level accesses.
RedisContinuous Integration and Continuous Delivery (CI/CD)Distributed SystemsSoftware DevelopmentKubernetesMicroservices+7

Amazon

SDE

Oct 2018Sep 2019 · 11 mos · Hyderabad Area, India

  • Worked with Worldwide Returns and re-commerce org as part of Policy Engine team in the Company. Work included
  • developing new features to promote better customer experience and stabilizing the existing system by employing
  • best practices.
  • 1. Integrated Deals & Coupons Systems with Customer Returns flow to promote sales through Returns
  • Platform by using Recommendation Engine, thus increasing the relevance of exchange options offered to the
  • customer and also incentivizing her select exchange over refund.
  • 2. Worked on reducing the return process time for refund flow by introducing an ML model to predict return
  • likelihood which incorporates fraud detection.
  • 3. Reduced deployment time by making Full CICD Pipeline for services.
Machine LearningContinuous Integration and Continuous Delivery (CI/CD)Distributed SystemsSoftware DevelopmentMicroservicesBack-End Web Development+3

Paytm

SDE

Jun 2017Oct 2018 · 1 yr 4 mos · Noida Area, India

  • I was part of the performance optimisation and stability team in movies vertical at the company. My work included designing better approaches to resolve pain points of the system. It revolved around bettering cache systems, incorporation of throttle mechanism and feature design as well.
Node.jsRedisSoftware DevelopmentMicroservicesBack-End Web DevelopmentLinux+2

Infinera

Intern

Jun 2016Dec 2016 · 6 mos · bangalore

  • 1. My work involved R&D in ASIC verification technology, using SV, UVM and C++.
  • 2. I reduced the simulation time for simulation on the servers by making DAGs out of them, and thus branching like trees thus saving computation time.
  • 3. I parallalized the simulations using VCS multi-core technology, thus reducing the compute time even further.
  • 4. I implemented a proof-of-concept for On-the-fly reset scheme in UVM.
  • 5. I also developed test bench coding guidelines.
MicrocontrollersEmbedded SystemsLinux

Wadia institute of himalayan geology dehradun

Summer Intern

May 2015Jul 2015 · 2 mos · Dehra Dun Area, India

  • I did my summer internship here, during which these were my projects.
  • Developed an algorithm for earthquake early warning system and Simulated using C++ and MATLAB.
  • Developed an algorithm to mark the arrival of Pressure wave causally, and Simulated using C++.
  • Proposed a cheap Universal Data Logger as an alternative to the existing ones.
MicrocontrollersEmbedded Systems

Education

Birla Institute of Technology and Science, Pilani

BE - Bachelor of Engineering — Electronics and Instrumentation

Jan 2013Jan 2017

Bal Bharati Public School Rohini

Secondry — CBSE

Jan 1998Jan 2011

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