We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Abhishek K. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: AI Chatbot, Machine Learning, LLM Prompt, ChatGPT, Generative AI Prompt Engineering, etc.. I hold a degree in Master of Computer Applications (MCA). Some of the notable projects I've worked on include: Task Adapt, VI AI, Reword, Agents Teachers, Healthcare-Admin-Dashboard, etc.. I am based in Saharsa, India. I've successfully completed 13 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
1 year
1 Year
1 Year
1 Year
Potentially possible
Tecorb Technologies
Full-stack project delivering a custom Small Language Model (SLM) from discovery to deployment. Utilized Lightweight Fine-Tuning (LoRA/PEFT) on domain data for cost-efficient optimization, followed by
A No-code AI automation platform that lets teams build and deploy calling workflows without writing code. Have integrated around 20, 3rd parties, LLMs, Twilio, SMS and Emails Gateways, CRMs, Social me
An AI writing platform built to help teams create accurate, SEO-optimized content at scale. We developed custom-trained co-writer models, real-time content scoring, SERP-aware outlines, and style cons
This project leverages fine-tuned LLMs (e.g., using QLoRA or related techniques) to create course-specific, context-aware chatbots. The system implements RAGs on course material for high-fidelity resp
HealthAdmin- Designed/Architected a secure, MLOps-driven Small Language Model (SLM) platform for medical professionals. Key components: Microservices Architecture with Role-Based Access Control (RBAC)
Master of Computer Applications (MCA) in Computer science