Saksham K.

AI Researcher

Bengaluru, Karnataka, India9 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 8+ years in Artificial Intelligence systems
  • Expertise in large-scale AI applications
  • Proven leadership in mentoring engineers
Stackforce AI infers this person is a SaaS-focused AI engineer with extensive experience in large-scale applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

AWS MLAgile MethodologiesAirflowAmazon Relational Database Service (RDS)Amazon Web Services (AWS)Apache KafkaApache SparkArtificial Neural NetworksCC++Cascading Style Sheets (CSS)ClusterwareComputer VisionConflict ResolutionCustom trained embeddings

About

Seasoned Lead AI engineer with a 8+ year experience into Artificially Intelligent Systems and 2+ years into Leading small teams. After having worked over multiple business domains, owning products, taking initiatives and mentoring other engineers, I have developed a niche into Large scale AI applications.

Experience

9 yrs
Total Experience
1 yr 4 mos
Average Tenure
2 yrs 5 mos
Current Experience

Multiplier

Lead AI Engineer

Jan 2024Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Large Language Models (LLM)Distributed SystemsPythonRelational DBRetrieval-Augmented Generation (RAG)High Throughput Computing+31

Career break

Professional development

Jul 2023Dec 2023 · 5 mos · Bengaluru, Karnataka

Microsoft

Software Engineer 2

Dec 2021Jun 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

  • Roles and Responsibilities
  • ● Engaged in design and development business critical projects requiring high data volume processing
  • capabilities with low latencies
  • ● Conducted experiments and stayed abreast of the latest trends in software engineering and AI, applying
  • this knowledge to innovate and propose new solutions to complex technical challenges
  • Key Achievements
  • ● Fine-tuned an instance of GPT-3 for a hybrid classifier for the Endpoint Data Loss Prevention module,
  • enhancing the processing efficiency by 39% to 180 ms and increased median classification
  • confidence from 64% to 85% through custom trained embeddings
  • ● Delivered an extension based on component design strategy to the Data Loss Prevention suite to
  • expand its operational capabilities to Teams, SharePoint, OneDrive capable of robustly handling peak
  • loads of 1.5 million requests per hour with a p95 latency of 0.9-1.2 milliseconds
  • ● Implemented and integrated a hybrid multi-modal generated content detection suite using three
  • innovative GAN models. Achieved 74.8 training accuracy over GAN-generated multi-format data
  • over a set of 300,000+ files
Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Strategic ThinkingTensorFlowDeep LearningComputer Vision+18

Myntra

Software Engineer

Nov 2020Dec 2021 · 1 yr 1 mo

  • Roles and Responsibilities
  • ● Contributed to the development of critical software components, focusing on writing clean, efficient code
  • in line with team standards and project requirements.
  • ● Adhered to agile methodologies, managing tasks and priorities efficiently in a fast-paced environment.
  • Key Achievements
  • ● Developed a 4 layer deep RNN regression model automating order replenishment quantity predictions
  • for a 7, 30 and 90-day periods for a set of 200,000 SKUs using 3 years of internal order data with
  • the objective to significantly reduce human intervention, minimizing unproductive inventory, and
  • streamlining operations
  • ● Architected and deployed an in-house workflow service on top of Airflow to manage peak loads of 700k
  • requests per hour, handling 28 distinct stages with a 5.8 ms latency
Distributed SystemsPythonRelational DBTime ManagementMySQLAmazon Web Services (AWS)+30

Oracle

Member Technical Staff

Jun 2018Nov 2020 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

  • Roles and Responsibilities
  • ● Participated in the development of software solutions, writing and testing code to meet established
  • standards and requirements while maintaining a focus on creating reliable and maintainable code
  • ● Contributed to process improvements and adopted best practices within the team to enhance efficiency
  • and software delivery
  • Key Achievements
  • ● Designed and implemented pragmatic solutions to manage node allocation dynamically, enabling clients
  • to customize hardware configurations.
  • ● Conceived and developed the diagnostics and failure management module as part of a broader move to
  • a microservices architecture, thereby enhancing system resilience and fault tolerance
Distributed SystemsPythonTime ManagementAmazon Web Services (AWS)Strategic ThinkingConflict Resolution+16

Samsung india

Student Trainee

Jan 2018Jun 2018 · 5 mos

Amazon Web Services (AWS)Strategic ThinkingDeep LearningComputer VisionSystem ArchitectureAgile Methodologies+6

Placement unit, bits pilani

Core Committee Member

Apr 2017Jun 2018 · 1 yr 2 mos · Pilani

Strategic ThinkingSystem ArchitectureAmazon Relational Database Service (RDS)Problem SolvingSQLProgramming

Defence research and development organisation

Summer Trainee

May 2015Jul 2015 · 2 mos · Dehradun, India

Strategic ThinkingTensorFlowDeep LearningSystem ArchitectureProblem SolvingDatabases+4

Oil and natural gas corporation ltd

Summer Trainee

May 2014Jul 2014 · 2 mos · Dehradun

Strategic ThinkingTensorFlowSystem ArchitectureProblem SolvingDatabasesSQL+3

Isro - indian space research organization

Summer Trainee

May 2013Jul 2013 · 2 mos · Dehradun

Strategic ThinkingTensorFlowDeep LearningSystem ArchitectureProblem SolvingDatabases+1

Education

Birla Institute of Technology and Science, Pilani

Master of Engineering Computer Science (ME-CS) — Computer Science

Jan 2016Jan 2018

National Institute of Technology Surat

Bachelor of Technology (B.Tech.) — Computer Engineering

Jan 2012Jan 2016

St. joseph's academy, dehradun

Secondary School — Science with Mathematics.

Jan 2009Jan 2011

St. Thomas' College, Dehradun

schooling — Science

Jan 2001Jan 2009

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Saksham K. - AI Researcher | Stackforce