Dhananjay Raman

Lead ML Engineer

Bengaluru, Karnataka, India3 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Graduated IIT Bombay with AIR 2 in JEE Advanced 2021
Founding engineer at Viven, building Digital Twins
Developed a transcriptome analysis tool 10x faster than existing solutions

Stackforce AI infers this person is a skilled engineer in Astrophysics and Computational Genomics with a focus on AI solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Python (programming Language)Data AnalysisComputational GenomicsSqlAstrophysicsLeadershipCommunicationComputational GeometryGraph Algorithms

Other Skills

Building Digital TwinsK-Means clusteringX-ray data analysisObservational AstronomyDjangoTime ManagementTeam ManagementBudget ManagementCritical ThinkingRetrieval-Augmented Generation (RAG)Computer Science

About

I graduated from IITB CS last year (JEE Advanced 2021 AIR 2) and joined Viven as a founding engineer. I am also an Academic Coach working with students in academics, Olympiads, and JEE preparation. To hear about my story and get real advice on preparing for these exams, talk to my Digital Twin at https://www.asksila.com/dhananjay-raman-2

Experience

3 yrs 4 mos

Total Experience

1 yr 3 mos

Average Tenure

11 mos

Current Experience

Viven

Member of Technical Staff

Jun 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Building Digital Twins to Scale Human Expertise

Building Digital TwinsArtificial Intelligence (AI)Python (Programming Language)

Indian institute of technology, bombay

3 roles

Undergraduate Researcher

Jan 2025 – May 2025 · 4 mos · Mumbai, Maharashtra, India · On-site

Guide: Prof. Saket Chaudhary, Koita Center for Digital Health
Benchmarked existing genomic and transcriptomic analysis tools on data loading times and inteval arithmetic speed
Developed a new transcriptome analysis tool based on SQL which is 10x faster than existing tools

Computational GenomicsSQLPython (Programming Language)

Undergraduate Researcher

Promoted

Jan 2023 – May 2025 · 2 yrs 4 mos · Mumbai, Maharashtra, India · On-site

Guide: Prof. Varun Bhalerao, Department of Physics
Developed software for localizing Gamma-Ray Bursts with a network of space telescopes including Indian as well as NASA missions
Developed a data simulator for the proposed Daksha mission to study the feasibility of possible advanced science cases
Worked on processing pipeline of the GROWTH-India Telescope - India’s first fully robotic optical telescope
Deployed Django servers for storing nightly reports, and human verification of transients detected by the telescope
Designed a dashboard for real-time monitoring of vital components of the GROWTH-India processing pipeline

AstrophysicsObservational AstronomyPython (Programming Language)Django

Teaching Assistant

Jan 2023 – Dec 2024 · 1 yr 11 mos · Mumbai, Maharashtra, India · On-site

Worked as a teaching assistant for Computer Science and Chemistry courses.

University of hamburg

Research Intern

May 2024 – Jul 2025 · 1 yr 2 mos · Hamburg, Germany · On-site

Guide: Prof. Dr. Thomas Kupfer, Hamburg Observatory
Applied K-Means clustering to a catalog of 90000 subdwarfs to identify potential sdB binaries, and cross-matched
the sources with X-ray data for 3 million sources from the eROSITA mission to identify accreting binaries
Filtered ∼40 candidates for followup observations with Gemini and VLT based on spectrum, variability, and orbit

K-Means clusteringX-ray data analysisPython (Programming Language)Data Analysis

Institute technical council, iit bombay

Institute Maths and Physics Secretary

Apr 2024 – Apr 2025 · 1 yr · Mumbai, Maharashtra, India · On-site

Led a team of 13 students to organize lectures, workshops, and quizzes in Maths and Physics for the student body

CommunicationLeadershipTime ManagementTeam ManagementBudget ManagementCritical Thinking

Technische universität braunschweig

Research Intern

May 2023 – Jul 2023 · 2 mos · Brunswick, Lower Saxony, Germany · On-site

Guide: Prof. Dr. Sandor Fekete, Institute of Operating Systems and Computer Networks
Conducted literature review of research papers on Lawn Mowing Problem, Art Gallery Problem, Coordinated
Motion Planning, Swarm Robotics, with focus on NP-Hardness, good heuristics, and approximation algorithms
Proved key properties, and developed heuristics based on duality for finding the Minimum Clique Cover for SAT graphs, a novel way of analysing SAT formulae with applications in software testing and configurable system