Ankit Raj

Intern

Patna, Bihar, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

INSPIRE Scholar recognized for scientific contributions.
Internship experience in neuromorphic computing at IIT Roorkee.
Strong commitment to purpose-driven research and innovation.

Stackforce AI infers this person is a candidate with a strong foundation in computational neuroscience and neuromorphic engineering.

Contact

Skills

Core Skills

Neuromorphic EngineeringComputational Neuroscience

Other Skills

Artificial Intelligence for BusinessBiophysical tuningBrian2ChatGPTCommunicationConfidence BuildingContent MarketingCritical ThinkingCustom GPTsData VisualizationData visualizationDendrifyDendritic computationDeveloping a critical thinking mindsetGenerative AI Tools

About

I am a second-year undergraduate student at the National Institute of Science Education and Research (NISER), Bhubaneswar, currently pursuing a major in Chemistry. As an INSPIRE Scholar recognized by the Department of Atomic Energy, I am driven by a strong sense of purpose to apply scientific knowledge for the greater good. My academic journey at NISER has instilled in me the discipline, curiosity, and scientific thinking essential for a career in research and innovation. I am particularly passionate about science that bridges theory with application and creates solutions that matter. Recently, I had the opportunity to intern at IIT Roorkee, where I was exposed to computational modeling and neuromorphic systems, further expanding my scientific perspective. 🔹 Values: Purpose-driven research, national contribution, continuous growth 🔹 Skills: Scientific thinking, programming (Python, C), computational tools, research communication I am committed to using science as a force for transformation — one that serves people, strengthens our nation, and uplifts humanity through knowledge, innovation, and action.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indian institute of technology, roorkee

Summer Intern

May 2025 – Present · 1 yr 1 mo · Dehradun, Uttarakhand, India · On-site

Worked as a Summer Intern under the guidance of Dr. Ankush Kumar at the Centre for Nanotechnology, Indian Institute of Technology Roorkee. The internship focused on neuromorphic computing with a specific emphasis on dendritic computation. The primary objective was to model and simulate biologically plausible neurons with active dendrites to understand their computational advantages for energy-efficient brain-inspired systems.
Key Responsibilities and Contributions
Developed and simulated multi-compartment spiking neuron models using Python-based tools such as Dendrify and Brian2.
Implemented active dendritic processing including supralinear/sublinear summation, local input gating, and coincidence detection.
Explored the effects of synaptic input location and timing on spike output and firing patterns in spiking neural networks (SNNs).
Tuned key biophysical parameters to ensure biological realism and numerical stability in simulated neurons.
Conducted comparative studies between passive and active dendritic models to analyze improvements in computational capacity.
Visualized simulations with Matplotlib and analyzed data using NumPy to study membrane potentials, synaptic currents, and spike trains.
Documented weekly progress, shared simulation results, and gave internal technical presentations to the research group.
Skills and Tools Gained
Programming & Tools: Python, Dendrify, Brian2, NumPy, Matplotlib
Core Domains: Dendritic computation, computational neuroscience, neuromorphic engineering
Skills: Neural modeling, multi-compartment simulation, biophysical tuning, scientific reporting, and data visualization
Outcome: Strengthened understanding of brain-inspired neural computation and sparked a strong interest in research at the intersection of neuroscience and AI.