Aum Patil

Co-Founder

Pune, Maharashtra, India5 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founded a cybersecurity startup focused on AI solutions.
Developed advanced tools for forensic analysis and threat intelligence.
Expert in building data pipelines and machine learning models.

Stackforce AI infers this person is a Cybersecurity and AI specialist with strong data engineering capabilities.

Contact

Skills

Core Skills

Machine LearningAi DevelopmentData ScienceData Engineering

Other Skills

PythonData AnalysisComputer VisionImage ProcessingNLPDeep LearningSparkAirflowExplainable AIOCRData ProcessingPresentation SkillsReliability EngineeringNatural Language Processing (NLP)

About

At CerebralZip, we are team of passionate engineers building state-of-the-art Made In India AI products in cybersecurity, digital forensics, Video analysis and OSINT. Feel free to reach me for any requirements, collaborations or just brainstorming over coffee.

Experience

5 yrs 9 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 8 mos

Current Experience

Cerebralzip technologies pvt. ltd.

Co-Founder

Sep 2023 – Present · 2 yrs 8 mos · Mumbai, Maharashtra, India · On-site

As Co-Founder at CerebralZip Technologies, I spearhead the development of innovative AI-powered forensic and security analysis platforms that address India’s unique investigative challenges. My role encompasses product strategy, technical leadership, and client engagement, working closely with private companies as well as with government and law enforcement agencies to tailor solutions that enhance case resolution efficiency. Under my guidance, CerebralZip has delivered advanced tools such as:
1. CerebralZip Discovery for comprehensive mobile and disk forensic analysis
2. CerebVision, an AI assistant enabling intuitive conversational analysis of CCTV footage
3. Unfogg - OSINT platform, providing social media analytics for threat intelligence and investigations
4. CerebShield- leveraging large language models to automate vulnerability identification in embedded firmware
Together, these products catalyze faster, more accurate investigations and strengthen digital security frameworks nationally.

Machine LearningPythonData AnalysisComputer VisionImage ProcessingNLP+2

Sherlockai by infinite analytics

Data Scientist

Jul 2021 – Apr 2023 · 1 yr 9 mos · Mumbai, Maharashtra, India

Worked on various AI/ML use cases -
1. Built data pipelines in spark and airflow to process the large timestamp data within least possible amount of time. The cloud platforms used for this includes Databricks, Oracle spark cluster and AWS EMR.
2. Conceptualised and built the pipeline and algorithm for defining a single index for regions by combining multiple datasets from various sources.
3. Built leadscoring engines for client based on their lead forms data. Used Explainable-AI tools to make the model trustworthy.
4. End-to-end pipeline for processing large pdfs using OCR.
5. Location intelligence use cases like audience segmentation, deduplicating location data, evaluation scripts for different datasets. The data size ranges from 10 gb to 100gb

Machine LearningData AnalysisPythonData Science

Fractal

Imagineer

Sep 2020 – Jul 2021 · 10 mos · Mumbai, Maharashtra, India

Shadowed a project on consumer segmentation in hair care segment using semi supervised model.
Worked on consulting and data engineering role for a web app which is suppose to show growth opportunities for a CPG client.

Inquizity

Intern

Jun 2019 – Dec 2019 · 6 mos · Mumbai, Maharashtra, India

Worked on core AI/ML projects like data extraction from scanned images through OCR. Created and delivered a full stack application of a Warehouse Mangement System, key component being the indoor navigation system in warehouse.