Tejesh Vaish — AI Researcher
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
Stackforce AI infers this person is a SaaS-focused Full Stack Developer with expertise in Machine Learning and Automation.
Location: Lucknow, Uttar Pradesh, India
Experience: 5 yrs 3 mos
Skills
- Machine Learning Platforms
- Data Connector Development
- Embedded Software Development
- Automation
- Machine Learning
Career Highlights
- Led development of data connectors for major platforms.
- Implemented ChatGPT-like capabilities for enterprise solutions.
- Achieved $60K client engagement through innovative solutions.
Work Experience
Abacus.AI
Machine learning platform engineer (3 yrs)
SWE Intern (4 mos)
Texas Instruments
Embedded Software Intern (2 mos)
Securonix
Software Engineer Intern (9 mos)
C3iHub, IIT Kanpur
Machine Learning Engineer (1 yr 6 mos)
Education
Bachelor's degree at Indian Institute of Technology, Kanpur
12th at St Paul's College
10th at St Paul's College