Tejesh Vaish

AI Researcher

Lucknow, Uttar Pradesh, India5 yrs 3 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led development of data connectors for major platforms.
  • Implemented ChatGPT-like capabilities for enterprise solutions.
  • Achieved $60K client engagement through innovative solutions.
Stackforce AI infers this person is a SaaS-focused Full Stack Developer with expertise in Machine Learning and Automation.

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Skills

Core Skills

Machine Learning PlatformsData Connector DevelopmentEmbedded Software DevelopmentAutomationMachine Learning

Other Skills

AArch64 AssemblyAPI DevelopmentAlgoAlgorithm DevelopmentAmazon Web Services (AWS)AnalyticsAnsibleArtificial Intelligence (AI)Back-End Web DevelopmentBashBoot Process ImplementationC (Programming Language)C ProgrammingC++Code Review

About

At the intersection of Full Stack Development, Machine Learning and Infrastructure Engineering, I specialize in building scalable data platforms and automation solutions that drive business impact. Currently leading data connector development at Abacus.ai, where I've architected solutions for major platforms including Confluence, MongoDB, Zendesk, and Sharepoint. Most notably, designed and implemented ChatGPT-like conversational capabilities for enterprise platforms, leading to a successful $60K client engagement. My engineering journey spans diverse roles at industry leaders: • Abacus.ai: Spearheading production-level data connectors and LLM APIs, optimizing external data connector suite for major cloud storage and SaaS databases • Texas Instruments: Developed Cortex-A53 boot pipeline for AM61x Public ROM prototype, implementing crucial functionality in AArch64 assembly • Securonix: Led end-to-end automation projects, creating frameworks that reduced testing cycles by two weeks per release • AMD: Analyzed server performance bottlenecks and optimized hardware configurations Graduate of IIT Kanpur (CGPA: 9.14/10) with outstanding academic achievements including 99.9 percentile in JEE Advanced. My technical foundation spans Python, C++, and modern frameworks (Django, React, Ruby on rails), complemented by expertise in infrastructure tools like Docker, Jenkins, and Nginx. Passionate about tackling complex engineering challenges, I bring a proven track record of delivering high-impact solutions under tight deadlines. Whether it's optimizing cloud infrastructure, developing ML platforms, or architecting automation frameworks, I focus on creating scalable, efficient systems that solve real business problems. My approach combines technical expertise with strong project ownership - consistently recognized through accolades from engineering leadership and successful project deliveries. Active in the coding community with 1850+ rating on LeetCode and regular participation in competitive programming. Looking to connect with fellow technologists and explore opportunities where I can leverage my expertise in: • Machine Learning Platforms & Infrastructure • Data Connector Development • System Architecture & Optimization • Automation & DevOps • Full-Stack Development #OpenToWork #SoftwareEngineering #MachineLearning #Infrastructure #FullStack

Experience

5 yrs 3 mos
Total Experience
1 yr 9 mos
Average Tenure
3 yrs
Current Experience

Abacus.ai

2 roles

Machine learning platform engineer

Jun 2023Present · 3 yrs

Data Connector DevelopmentMachine Learning PlatformsSystem ArchitectureOptimization

SWE Intern

Jan 2023May 2023 · 4 mos

Texas instruments

Embedded Software Intern

May 2022Jul 2022 · 2 mos · Bengluru, India

  • Problem Statement: AM61x Public ROM prototype using ARM cortex-A core
  • Implemented the public core boot process using CLSTR registers, updated
  • linker files, build infrastructure to compile rom with aarch64 compiler
  • Used Aarch64 assembly and C to set up Stacks, MMU, Exception levels, cache
  • invalidation, Interrupt Tables functionality in Cortex-A core
AArch64 AssemblyC ProgrammingBoot Process ImplementationEmbedded Software Development

Securonix

Software Engineer Intern

Aug 2021May 2022 · 9 mos · Pune, Maharashtra, India

  • Spearheaded RIN-AUTOMATION development, used Ansible, python, pytest,
  • bash as Tech Stack to automate Installation, Upgrade, Testing and Package gen-
  • eration for Remote Ingestion Node aka RIN and jenkins to deploy it to use.
  • Developed QA-Acclerator using MERN stack and deployed through docker-
  • compose, also used nginx, uswgi as reverse-proxy and load-balancer, used pri-
  • marily for giving the difference, that is updated, deleted, added files between
  • two weekly releases, and saving baselines in MongoDB Database.
  • Created Incident-Creation-Framework for violations created for different poli-
  • cies, used Redis as memory-cache, pytest for validating the results.
  • Played Important role in Development of Test-Harness used django to design
  • system using models, bootstrapped the whole application, created templates
  • and API to manage Jenkins job and save data in mongodb database.
AutomationAnsibleMERN StackDocker

C3ihub, iit kanpur

Machine Learning Engineer

Jan 2020Jul 2021 · 1 yr 6 mos · Kanpur, Uttar Pradesh, India · On-site

  • Implemented various optimizations and machine learning algorithms to solve NP hard problems like TSP and Pseudoword generation in linguisitc
Machine LearningOptimizationAlgorithm Development

Education

Indian Institute of Technology, Kanpur

Bachelor's degree — Computer Science

St Paul's College

12th — Science

St Paul's College

10th — Science

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