Saransh Singh

Product Manager

Tiruchirappalli, Tamil Nadu, India5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 95% accuracy in gesture recognition system.
Developed a classifier for SAT solver selection.
Created a graph analysis tool enhancing algorithm design skills.

Stackforce AI infers this person is a skilled AI and software development professional with a focus on algorithm design.

Contact

Skills

Core Skills

Deep LearningComputer VisionAlgorithm DesignMachine LearningData Structures

Other Skills

Convolutional Neural Networks (CNN)End-to-End ML System DevelopmentAlgorithm AnalysisAlgorithm OptimizationGraph TheoryEmbedded CEmbedded SystemsArduinoCryptographyEmbedded SoftwareSystems DesignMeta-Algorithmic Solver SelectionSupervised LearningData AnalysisSocket Programming

About

Third-year CS undergrad at NIT Trichy, driven by a passion for problem-solving, scalable systems, and the algorithms behind modern technology. My core interests include systems programming, full-stack development, and AI, backed by a solid foundation in data structures, algorithms, and mathematics. I'm actively involved in programming contests, hands-on projects, and continuous learning through courses and internships. Open to internship opportunities in software engineering, systems, or AI-focused domains.

Experience

5 mos

Total Experience

5 mos

Average Tenure

Current Experience

Github

2 roles

Real-time Gesture Recognition for Indian Sign Language with Real-World Robustness

Promoted

Nov 2025 – Jan 2026 · 2 mos · Tamil Nadu, India · Remote

Developed a real-time ISL gesture recognition system, tackling occlusion, lighting variation, and background noise
Engineered MediaPipe-based keypoint features for robustness in unconstrained environments
Achieved 95% accuracy -on dynamic gestures, and 98% on static gestures.
Validated under real-world conditions (~67%) using stress-tested models using rotation, zoom, contrast, and noise augmentations

Convolutional Neural Networks (CNN)End-to-End ML System DevelopmentDeep LearningComputer Vision

Developer- SAT-Solver-Selector

Aug 2025 – Jan 2026 · 5 mos · Tamil Nadu, India · Remote

Developed a Random Forest–based classifier to predict whether DPLL or WalkSAT is better suited
for solving a given 3-SAT or Sudoku-based SAT instance. Generated and benchmarked diverse SAT
instances, analyzed solver performance, and learned instance characteristics that favor each
algorithm.

Algorithm AnalysisAlgorithm OptimizationAlgorithm DesignMachine Learning

Personal projects

Developer — GraphForgeX

Aug 2024 – Aug 2024 · 0 mo · Tiruchirappalli, Tamil Nadu, India · Remote

Developed a Python-based graph generation and analysis tool using the Havel-Hakimi algorithm.
Implemented key graph operations such as shortest path (Dijkstra), MST (Kruskal/Prim), Eulerian path check, and fundamental circuits/cutsets.
Added support for k-connectivity and dynamic visualization of constructed graphs.
Strengthened understanding of graph theory, algorithm design, and problem decomposition

Graph TheoryData StructuresAlgorithm Design