Tanishq Jaiswal

AI Researcher

Kanpur, Uttar Pradesh, India2 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in building scalable AI infrastructure.
  • Proficient in custom encoder model development.
  • Strong focus on practical AI deployment and optimization.
Stackforce AI infers this person is a highly skilled AI Developer specializing in scalable AI infrastructure and deployment.

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Skills

Core Skills

Artificial Intelligence (ai)MlopsMachine LearningSoftware Development

Other Skills

AI AgentsAI Tutor CompanionAlgorithmsArtificial Neural NetworksBERT (Language Model)Bootstrap (Framework)Business AnalysisBusiness RequirementsBusiness ResearchC++CommunicationComputer ScienceContextual Question AnsweringData AnalysisData Structures

About

I’m Tanishq Jaiswal — AI Developer at Samsung R&D. I work on custom-building transformer encoder models like BERT and taking them end to end: data collection → training → architecture tweaks → on-device deployment. That’s the role on paper. What actually keeps me hooked is the infrastructure side of AI. I care about what happens after a model is trained. How it gets optimized, compressed, scaled, and wired into real systems that don’t collapse under production constraints. Lately, I’ve been exploring RAG pipelines, vector databases, memory systems, and multi-agent orchestration using tools like LangGraph and Autogen. Not as shiny demos, but as systems that can survive real workflows. I’m not interested in models that only look impressive in notebooks. I care about shipping AI that works in the wild: lean, reliable, and engineered for scale. 💡 What I build and explore: ~ Encoder model customization (BERT and variants) ~ Efficient fine-tuning and deployment (LoRA, QLoRA, PEFT) ~ Quantization and inference optimization ~ RAG pipelines and memory-driven systems ~ Multi-agent orchestration and infra tooling Always open to connecting with people building AI infrastructure, intelligent agents, and product-first systems.

Experience

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

Samsung electronics

AI Software Engineer

Jan 2025Present · 1 yr 5 mos · Noida, Uttar Pradesh, India · On-site

  • Research & Development of custom Encoder Architecture to solve a security related problem
  • End to End development from data collection to fine tuning
  • Model compatibility for Edge devices via Quantization & Pruning
  • Building an AI agent for boosting internal developers' productivity
  • MCP wrapping for integration with CLine & internal bots
MLOpsArtificial Intelligence (AI)BERT (Language Model)QuantizationPruning

Civil guruji

Software Developer

Jan 2024Dec 2024 · 11 mos · Chhattisgarh, India · Hybrid

  • Designed and integrated an AI Tutor Companion into video lectures for contextual question answering using LLMs.
  • Implemented lecture-aware AI assistance by chunking transcripts and retrieving relevant context to ground responses.
  • Integrated LLM APIs with prompt constraints to reduce hallucinations and ensure educational accuracy.
  • Collaborated on AI-assisted engagement features while maintaining existing product stability.
AI Tutor CompanionLLMsContextual Question AnsweringPrompt ConstraintsArtificial Intelligence (AI)Machine Learning

Innodatatics * innovation | data | analytics

Developer

Dec 2023Feb 2024 · 2 mos · Bengaluru, Karnataka, India

  • Engineered development of the End-to-End web application for Bulk users using the Flask framework.
  • Designed flow of AI-Tutor application that automates answer grading as an interactive educational assessment tool.
  • Integrated ML models for seamless communication between AI and application back-end for real-time processing
FlaskMachine Learning ModelsWeb Application DevelopmentSoftware DevelopmentMachine Learning

Education

Harcourt Butler Technical University

Bachelor of Technology - BTech — Information Technology

Jan 2020Jan 2024

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