Shashi Kumar Sharma

Co-Founder

Bengaluru, Karnataka, India2 yrs 4 mos experience

Highly StableAI Enabled

Key Highlights

3+ years of experience in scalable AI and ML systems.
Proven impact with 40% latency reduction and 99.5% system reliability.
AWS Certified ML Specialist with expertise in end-to-end ML pipelines.

Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningDeep LearningPython (programming Language)

Other Skills

Large Language Models (LLM)Generative AI ToolsArtificial Intelligence (AI)Natural Language Processing (NLP)Aws deploymentAI agent monitoringAI agent toolsAI agent frameworkAI AgentsLangsmithCrewAILangGraphChunking methodHybrid retrievalVector db

About

Machine learning engineer with 3+ years of production experience building scalable AI and ML systems. Specialized in generative AI, RAG systems, LLMOps, and agentic AI with proven impact delivering 40% latency reduction and 99.5% system reliability. AWS Certified ML Specialist with expertise in end-to-end ML pipelines, computer vision, NLP, and distributed cloud infrastructure. Strong track record deploying production-grade deep learning models at scale. Open to ML, GenAI, data scientists, and MLOps roles. My Profiles: • Email ID: shashi23021990@gmail.com • LinkedIn Profile: https://www.linkedin.com/in/shashi23021990 • Twitter Profile: https://twitter.com/krshashi2302 • GitHub Profile: https://github.com/shashi2302

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

Current Experience

कार्यai

Founder & Researcher

Feb 2025 – Present · 1 yr 3 mos · India

Machine LearningDeep Learning

Techaiinc

2 roles

Machine Learning Engineer

Jun 2024 – Sep 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Worked on applied ML problem formulation, translating ambiguous business requirements into supervised learning tasks.
Experimented with tree-based models (Random Forest, XGBoost) and evaluated performance using ROC-AUC and error analysis.
Performed feature importance and interpretability analysis to validate model behavior and stakeholder trust.
Documented experiments and collaborated with cross-functional teams to iterate on model improvements.

Python (Programming Language)Large Language Models (LLM)Machine Learning

Machine Learning Engineer

Mar 2021 – Apr 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Supported applied ML workflows by cleaning and analyzing structured datasets, identifying data quality issues and label inconsistencies.
Built and evaluated baseline ML models (logistic regression, random forest) and compared them against heuristic approaches.
Performed feature engineering and preprocessing to improve model stability and generalization.
Conducted error analysis using ROC-AUC and precision-recall metrics to understand trade-offs.

Python (Programming Language)Large Language Models (LLM)Machine Learning