Abhishek pandir

Machine Learning Engineer

Gurugram, Haryana, India5 yrs experience

Most Likely To Switch

Key Highlights

Expert in end-to-end ML solutions and LLMs.
Proven track record in optimizing ML services.
Strong leadership in educational empowerment projects.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI solutions and educational technology.

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Skills

Core Skills

Machine LearningLarge Language Models (llm)Project ManagementPublic RelationsLeadershipData AnalysisFull-stack DevelopmentWeb Development

Other Skills

Amazon Web Services (AWS)Analytical SkillsAnalyticsBack-End Web DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer VisionData AnalyticsData Filtering PipelinesData MiningData ScienceData StructuresDebate

About

A seasoned ML engineer with expertise in building end-to-end ML solutions—from the research phase through to deployment—plus experience developing websites and mobile apps. I’m currently working with Large Language Models (LLMs), pushing the boundaries of what AI can achieve. With a BTech from IIT Madras, I have a solid foundation in engineering principles and a talent for transforming complex ideas into impactful solutions. Keywords: LLM, NLP, MLOPs, Statistical analysis, Machine learning, Deep learning, Backend Development, DBMS, OOP, Data structures and algorithm, Docker, Jenkins, Mongo, GCP, Kubernetes, Kafka, Python, C++, SQL, HTML, CSS, Git, Pandas, Numpy, Matplotlib, Sklearn, TensorFlow, PyTorch, Bootstrap-CSS, Power Automate, AutoCAD, Fusion 360, Relational Databases, PySpark, Retrieval-Augmented Generation (RAG), Generative AI, ANN, RNN, CNN, Inferential Statistics, Hypothesis Testing

Experience

5 yrs

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 9 mos

Current Experience

Sprinklr

2 roles

Machine Learning Engineer II

Promoted

May 2025 – Present · 11 mos · Gurugram, Haryana, India

Simplified and reduced costs of ML services by automating repetitive tasks
Built large-scale custom datasets (millions of samples, billions of tokens) for instruction fine-tuning of LLMs
Developed data filtering pipelines and large-scale training/alignment strategies for LLMs
Designed and implemented evaluation systems for model performance
Optimized training and production inference for efficiency and scalability

Large Language Models (LLM)Data Filtering PipelinesModel Performance EvaluationTraining OptimizationMachine Learning

Machine Learning Engineer I

Jul 2023 – Jun 2025 · 1 yr 11 mos · Gurugram, Haryana, India

Managed the end-to-end process of training, testing, and deploying sentiment analysis and moderation services, incorporating advanced features like emotion detection and spam filtering. Enhanced moderation reliability and user experience through robust, scalable models.
Adapted large language models (LLMs) such as LLaMA3-8B, Phi3, LLaMA7B, and Mistral7B to specific tasks in Generalized Classification and text analysis. Utilized fine-tuning techniques like LoRA, QLoRA, and Supervised Fine-Tuning (SFT) to boost model accuracy and relevance in targeted applications.
Enhanced Instruction Adherence with Advanced Prompting Techniques:
Developed and applied prompting strategies—Chain of Thought (CoT), Branch of Thought (BoT), and Retrieval-Augmented Generation (RAG)—to address instruction-following challenges in LLMs. These innovations improved model consistency and responsiveness to user instructions.
Implemented optimization techniques such as pruning, quantization, efficient decoding, and prompt compression, reducing memory requirements by 60-70% and achieving a twofold increase in inference speed. This resulted in significant efficiency gains for high-demand applications.
Developed domain-specific datasets to fine-tune models, increasing instruction adherence and reducing hallucinations. This dataset curation improved model reliability and alignment with intended outcomes in real-world applications.:
Designed a summarization widget with charts and drill-down capabilities to provide quick insights into displayed data. Leveraged RAG and prompt engineering to ensure efficient and contextually accurate summaries, helping users access key insights seamlessly.

Python (Programming Language)Statistical Data AnalysisDeep LearningLarge Language Models (LLM)Machine Learning

Genvr labs

Founding Member

Feb 2023 – Apr 2024 · 1 yr 2 mos · Delhi, India

> Developed a full-scale video summarization tool utilizing frame selection, image captioning, and GPT-3.5 technologies.
>Constructed a large-scale retrieval system for searching similar queries by employing vector search techniques.
> Fine-Tuned large language models (LLMs) to build engaging conversational systems.

Video SummarizationImage CaptioningGPT-3.5 TechnologiesVector Search TechniquesMachine LearningLarge Language Models (LLM)

Nss iit madras

2 roles

Project Manager

Promoted

Jun 2022 – Jun 2023 · 1 yr

Responsible for managing the Tech Lab project under NSS, IITM, which aims at taking IITM’s resources to schools in remote
locations for the empowerment of students through wholesome education.
Filling the gap between theoretical and practical learning in students by providing local students exposure to STEM.
Leading a team of 50 student volunteers from IITM to embark curiosity in the minds of students and to wake up the engineers
inside them.

Problem SolvingCommunicationLeadershipProject Management

Public Relations Manager

Mar 2021 – Jun 2022 · 1 yr 3 mos

• Worked as a manager in the PR team of NSS-IIT madras, handled the social media pages

Problem SolvingCommunicationAnalytical SkillsPublic Relations

Jsw

Summer Intern

May 2022 – Aug 2022 · 3 mos · India

Built a python script that automated the movement of data from the company’s ERP system to its CRM system
This increased the order success rate from 60% to 95% and reduced avg. order placement time by 60%
Utilized ML algorithms such as Linear Regression & Radom Forests to find correlations between various variables
Built a python script which automated the process of price optimization with ML algorithm and updation in backend

Pandas (Software)Software DevelopmentData AnalysisMachine LearningGitFinancial Accounting+10

Student legislative council, iit madras

Hostel Legislator

Apr 2022 – Jun 2023 · 1 yr 2 mos · Chennai, Tamil Nadu, India

Selected by 800+ students as Hostel Legislator of Ganga Hostel for the year 2022-23 to represent the hostel in SLC
Responsible for regularly conducting the general body meetings and validating the hostel budget of 5.5 Lakhs
Actively participating in the debates of SLC on Issues in Institute and Chairperson of Ad-Hoc Committee on BSc-DS

Problem SolvingPublic RelationsCommunicationDebateAnalytical SkillsLeadership+2

Indian institute of technology, roorkee

Research Intern under Prof. Balasubramanian

Mar 2022 – Dec 2022 · 9 mos

Worked in a team responsible for building the controller of prototype of a Biped Robot for Agricultural fields
Learned about webot and G-mapping tools for simultaneous localization and Mapping for Path Planning
Collected and labelled data for the tomato localization with labelimg in Yolo and pascal Voc Format
Implemented research papers for detecting and localization of tomatoes and peduncles and fine-tuned YoloV5, achieving mAP of 73.1

TensorFlowPandas (Software)Software DevelopmentGitC++Problem Solving+6

Go data insights

Machine Learning Researcher

Jun 2021 – Aug 2021 · 2 mos · Delhi, India

Built an Algorithm with which one can calculate the greenery score of an area with longitude, latitude, and radius
Used open street map API to fetch the data for the algorithm and calculated the green score of Delhi to 24% Blog
Analyzed NASA’s fire data from the MODIS satellite and built a fire count prediction system for a region Blog
The developed region-based fire prediction system has the potential to save $10s Mln for fire-affected companies

Google Cloud Platform (GCP)Data AnalyticsTensorFlowPandas (Software)Software DevelopmentMachine Learning+16

Fts(failure to success)

Machine Learning Intern

May 2021 – Jun 2021 · 1 mo

Analyzed hourly air composition data to find the correlation between concentrations of various gases present
Treated the columns with missing values with knn Imputation and dropping with a threshold of 30% missing values
Built a LSTM model and trained it on day wise gaseous composition data and achieved an average RMSE of 0.0012

Data AnalyticsTensorFlowPandas (Software)GitKerasProblem Solving+7

Jivaas

React and Django Developer

Apr 2021 – Jul 2021 · 3 mos

Worked on building a Web App for monitoring the electric energy consumption of shops in a city mall
Developed a React web application using Django for the backend and ReactJS for the front end
The application had a 3-tier architecture with a primary dashboard for users, employers, and administration staff

Pandas (Software)Software DevelopmentGitProblem SolvingCommunicationRepresentational State Transfer (REST)+5

Chillitray technologies

Full-stack Developer

Feb 2021 – May 2021 · 3 mos · Bangalore Urban, Karnataka, India

Worked In a team of 30 developers responsible to design the backend with MVC architecture and documentation
Built Session-based Authentication systems with the functionality of OTP and Personal Tokens using HTTP Protocol
Developed Various APIs for sending SMS and emails for backend of an App achieved 10k+ downloads on play store

Software DevelopmentGitProblem SolvingRepresentational State Transfer (REST)Object-Oriented Programming (OOP)Back-End Web Development+4

Centre for innovation (cfi)

Project Manager

May 2020 – Jan 2021 · 8 mos · Chennai, Tamil Nadu, India · On-site

worked on developing a Smart touch Keyboard with a team of 5 members

Mechanica iit madras

Web Developer

Aug 2019 – Apr 2020 · 8 mos · Chennai, Tamil Nadu, India

● Worked as a coordinator in a 8 member web operations team of MEA.
● First, I learned about HTML, CSS, and JavaScript and then created templates for websites with a team. An improved user interface to give a better user experience

Software DevelopmentGitHTMLProblem SolvingCommunicationRepresentational State Transfer (REST)+5